40 skills found · Page 1 of 2
sayantann11 / All Classification Templetes For MLClassification - Machine Learning This is ‘Classification’ tutorial which is a part of the Machine Learning course offered by Simplilearn. We will learn Classification algorithms, types of classification algorithms, support vector machines(SVM), Naive Bayes, Decision Tree and Random Forest Classifier in this tutorial. Objectives Let us look at some of the objectives covered under this section of Machine Learning tutorial. Define Classification and list its algorithms Describe Logistic Regression and Sigmoid Probability Explain K-Nearest Neighbors and KNN classification Understand Support Vector Machines, Polynomial Kernel, and Kernel Trick Analyze Kernel Support Vector Machines with an example Implement the Naïve Bayes Classifier Demonstrate Decision Tree Classifier Describe Random Forest Classifier Classification: Meaning Classification is a type of supervised learning. It specifies the class to which data elements belong to and is best used when the output has finite and discrete values. It predicts a class for an input variable as well. There are 2 types of Classification: Binomial Multi-Class Classification: Use Cases Some of the key areas where classification cases are being used: To find whether an email received is a spam or ham To identify customer segments To find if a bank loan is granted To identify if a kid will pass or fail in an examination Classification: Example Social media sentiment analysis has two potential outcomes, positive or negative, as displayed by the chart given below. https://www.simplilearn.com/ice9/free_resources_article_thumb/classification-example-machine-learning.JPG This chart shows the classification of the Iris flower dataset into its three sub-species indicated by codes 0, 1, and 2. https://www.simplilearn.com/ice9/free_resources_article_thumb/iris-flower-dataset-graph.JPG The test set dots represent the assignment of new test data points to one class or the other based on the trained classifier model. Types of Classification Algorithms Let’s have a quick look into the types of Classification Algorithm below. Linear Models Logistic Regression Support Vector Machines Nonlinear models K-nearest Neighbors (KNN) Kernel Support Vector Machines (SVM) Naïve Bayes Decision Tree Classification Random Forest Classification Logistic Regression: Meaning Let us understand the Logistic Regression model below. This refers to a regression model that is used for classification. This method is widely used for binary classification problems. It can also be extended to multi-class classification problems. Here, the dependent variable is categorical: y ϵ {0, 1} A binary dependent variable can have only two values, like 0 or 1, win or lose, pass or fail, healthy or sick, etc In this case, you model the probability distribution of output y as 1 or 0. This is called the sigmoid probability (σ). If σ(θ Tx) > 0.5, set y = 1, else set y = 0 Unlike Linear Regression (and its Normal Equation solution), there is no closed form solution for finding optimal weights of Logistic Regression. Instead, you must solve this with maximum likelihood estimation (a probability model to detect the maximum likelihood of something happening). It can be used to calculate the probability of a given outcome in a binary model, like the probability of being classified as sick or passing an exam. https://www.simplilearn.com/ice9/free_resources_article_thumb/logistic-regression-example-graph.JPG Sigmoid Probability The probability in the logistic regression is often represented by the Sigmoid function (also called the logistic function or the S-curve): https://www.simplilearn.com/ice9/free_resources_article_thumb/sigmoid-function-machine-learning.JPG In this equation, t represents data values * the number of hours studied and S(t) represents the probability of passing the exam. Assume sigmoid function: https://www.simplilearn.com/ice9/free_resources_article_thumb/sigmoid-probability-machine-learning.JPG g(z) tends toward 1 as z -> infinity , and g(z) tends toward 0 as z -> infinity K-nearest Neighbors (KNN) K-nearest Neighbors algorithm is used to assign a data point to clusters based on similarity measurement. It uses a supervised method for classification. The steps to writing a k-means algorithm are as given below: https://www.simplilearn.com/ice9/free_resources_article_thumb/knn-distribution-graph-machine-learning.JPG Choose the number of k and a distance metric. (k = 5 is common) Find k-nearest neighbors of the sample that you want to classify Assign the class label by majority vote. KNN Classification A new input point is classified in the category such that it has the most number of neighbors from that category. For example: https://www.simplilearn.com/ice9/free_resources_article_thumb/knn-classification-machine-learning.JPG Classify a patient as high risk or low risk. Mark email as spam or ham. Keen on learning about Classification Algorithms in Machine Learning? Click here! Support Vector Machine (SVM) Let us understand Support Vector Machine (SVM) in detail below. SVMs are classification algorithms used to assign data to various classes. They involve detecting hyperplanes which segregate data into classes. SVMs are very versatile and are also capable of performing linear or nonlinear classification, regression, and outlier detection. Once ideal hyperplanes are discovered, new data points can be easily classified. https://www.simplilearn.com/ice9/free_resources_article_thumb/support-vector-machines-graph-machine-learning.JPG The optimization objective is to find “maximum margin hyperplane” that is farthest from the closest points in the two classes (these points are called support vectors). In the given figure, the middle line represents the hyperplane. SVM Example Let’s look at this image below and have an idea about SVM in general. Hyperplanes with larger margins have lower generalization error. The positive and negative hyperplanes are represented by: https://www.simplilearn.com/ice9/free_resources_article_thumb/positive-negative-hyperplanes-machine-learning.JPG Classification of any new input sample xtest : If w0 + wTxtest > 1, the sample xtest is said to be in the class toward the right of the positive hyperplane. If w0 + wTxtest < -1, the sample xtest is said to be in the class toward the left of the negative hyperplane. When you subtract the two equations, you get: https://www.simplilearn.com/ice9/free_resources_article_thumb/equation-subtraction-machine-learning.JPG Length of vector w is (L2 norm length): https://www.simplilearn.com/ice9/free_resources_article_thumb/length-of-vector-machine-learning.JPG You normalize with the length of w to arrive at: https://www.simplilearn.com/ice9/free_resources_article_thumb/normalize-equation-machine-learning.JPG SVM: Hard Margin Classification Given below are some points to understand Hard Margin Classification. The left side of equation SVM-1 given above can be interpreted as the distance between the positive (+ve) and negative (-ve) hyperplanes; in other words, it is the margin that can be maximized. Hence the objective of the function is to maximize with the constraint that the samples are classified correctly, which is represented as : https://www.simplilearn.com/ice9/free_resources_article_thumb/hard-margin-classification-machine-learning.JPG This means that you are minimizing ‖w‖. This also means that all positive samples are on one side of the positive hyperplane and all negative samples are on the other side of the negative hyperplane. This can be written concisely as : https://www.simplilearn.com/ice9/free_resources_article_thumb/hard-margin-classification-formula.JPG Minimizing ‖w‖ is the same as minimizing. This figure is better as it is differentiable even at w = 0. The approach listed above is called “hard margin linear SVM classifier.” SVM: Soft Margin Classification Given below are some points to understand Soft Margin Classification. To allow for linear constraints to be relaxed for nonlinearly separable data, a slack variable is introduced. (i) measures how much ith instance is allowed to violate the margin. The slack variable is simply added to the linear constraints. https://www.simplilearn.com/ice9/free_resources_article_thumb/soft-margin-calculation-machine-learning.JPG Subject to the above constraints, the new objective to be minimized becomes: https://www.simplilearn.com/ice9/free_resources_article_thumb/soft-margin-calculation-formula.JPG You have two conflicting objectives now—minimizing slack variable to reduce margin violations and minimizing to increase the margin. The hyperparameter C allows us to define this trade-off. Large values of C correspond to larger error penalties (so smaller margins), whereas smaller values of C allow for higher misclassification errors and larger margins. https://www.simplilearn.com/ice9/free_resources_article_thumb/machine-learning-certification-video-preview.jpg SVM: Regularization The concept of C is the reverse of regularization. Higher C means lower regularization, which increases bias and lowers the variance (causing overfitting). https://www.simplilearn.com/ice9/free_resources_article_thumb/concept-of-c-graph-machine-learning.JPG IRIS Data Set The Iris dataset contains measurements of 150 IRIS flowers from three different species: Setosa Versicolor Viriginica Each row represents one sample. Flower measurements in centimeters are stored as columns. These are called features. IRIS Data Set: SVM Let’s train an SVM model using sci-kit-learn for the Iris dataset: https://www.simplilearn.com/ice9/free_resources_article_thumb/svm-model-graph-machine-learning.JPG Nonlinear SVM Classification There are two ways to solve nonlinear SVMs: by adding polynomial features by adding similarity features Polynomial features can be added to datasets; in some cases, this can create a linearly separable dataset. https://www.simplilearn.com/ice9/free_resources_article_thumb/nonlinear-classification-svm-machine-learning.JPG In the figure on the left, there is only 1 feature x1. This dataset is not linearly separable. If you add x2 = (x1)2 (figure on the right), the data becomes linearly separable. Polynomial Kernel In sci-kit-learn, one can use a Pipeline class for creating polynomial features. Classification results for the Moons dataset are shown in the figure. https://www.simplilearn.com/ice9/free_resources_article_thumb/polynomial-kernel-machine-learning.JPG Polynomial Kernel with Kernel Trick Let us look at the image below and understand Kernel Trick in detail. https://www.simplilearn.com/ice9/free_resources_article_thumb/polynomial-kernel-with-kernel-trick.JPG For large dimensional datasets, adding too many polynomial features can slow down the model. You can apply a kernel trick with the effect of polynomial features without actually adding them. The code is shown (SVC class) below trains an SVM classifier using a 3rd-degree polynomial kernel but with a kernel trick. https://www.simplilearn.com/ice9/free_resources_article_thumb/polynomial-kernel-equation-machine-learning.JPG The hyperparameter coefθ controls the influence of high-degree polynomials. Kernel SVM Let us understand in detail about Kernel SVM. Kernel SVMs are used for classification of nonlinear data. In the chart, nonlinear data is projected into a higher dimensional space via a mapping function where it becomes linearly separable. https://www.simplilearn.com/ice9/free_resources_article_thumb/kernel-svm-machine-learning.JPG In the higher dimension, a linear separating hyperplane can be derived and used for classification. A reverse projection of the higher dimension back to original feature space takes it back to nonlinear shape. As mentioned previously, SVMs can be kernelized to solve nonlinear classification problems. You can create a sample dataset for XOR gate (nonlinear problem) from NumPy. 100 samples will be assigned the class sample 1, and 100 samples will be assigned the class label -1. https://www.simplilearn.com/ice9/free_resources_article_thumb/kernel-svm-graph-machine-learning.JPG As you can see, this data is not linearly separable. https://www.simplilearn.com/ice9/free_resources_article_thumb/kernel-svm-non-separable.JPG You now use the kernel trick to classify XOR dataset created earlier. https://www.simplilearn.com/ice9/free_resources_article_thumb/kernel-svm-xor-machine-learning.JPG Naïve Bayes Classifier What is Naive Bayes Classifier? Have you ever wondered how your mail provider implements spam filtering or how online news channels perform news text classification or even how companies perform sentiment analysis of their audience on social media? All of this and more are done through a machine learning algorithm called Naive Bayes Classifier. Naive Bayes Named after Thomas Bayes from the 1700s who first coined this in the Western literature. Naive Bayes classifier works on the principle of conditional probability as given by the Bayes theorem. Advantages of Naive Bayes Classifier Listed below are six benefits of Naive Bayes Classifier. Very simple and easy to implement Needs less training data Handles both continuous and discrete data Highly scalable with the number of predictors and data points As it is fast, it can be used in real-time predictions Not sensitive to irrelevant features Bayes Theorem We will understand Bayes Theorem in detail from the points mentioned below. According to the Bayes model, the conditional probability P(Y|X) can be calculated as: P(Y|X) = P(X|Y)P(Y) / P(X) This means you have to estimate a very large number of P(X|Y) probabilities for a relatively small vector space X. For example, for a Boolean Y and 30 possible Boolean attributes in the X vector, you will have to estimate 3 billion probabilities P(X|Y). To make it practical, a Naïve Bayes classifier is used, which assumes conditional independence of P(X) to each other, with a given value of Y. This reduces the number of probability estimates to 2*30=60 in the above example. Naïve Bayes Classifier for SMS Spam Detection Consider a labeled SMS database having 5574 messages. It has messages as given below: https://www.simplilearn.com/ice9/free_resources_article_thumb/naive-bayes-spam-machine-learning.JPG Each message is marked as spam or ham in the data set. Let’s train a model with Naïve Bayes algorithm to detect spam from ham. The message lengths and their frequency (in the training dataset) are as shown below: https://www.simplilearn.com/ice9/free_resources_article_thumb/naive-bayes-spam-spam-detection.JPG Analyze the logic you use to train an algorithm to detect spam: Split each message into individual words/tokens (bag of words). Lemmatize the data (each word takes its base form, like “walking” or “walked” is replaced with “walk”). Convert data to vectors using scikit-learn module CountVectorizer. Run TFIDF to remove common words like “is,” “are,” “and.” Now apply scikit-learn module for Naïve Bayes MultinomialNB to get the Spam Detector. This spam detector can then be used to classify a random new message as spam or ham. Next, the accuracy of the spam detector is checked using the Confusion Matrix. For the SMS spam example above, the confusion matrix is shown on the right. Accuracy Rate = Correct / Total = (4827 + 592)/5574 = 97.21% Error Rate = Wrong / Total = (155 + 0)/5574 = 2.78% https://www.simplilearn.com/ice9/free_resources_article_thumb/confusion-matrix-machine-learning.JPG Although confusion Matrix is useful, some more precise metrics are provided by Precision and Recall. https://www.simplilearn.com/ice9/free_resources_article_thumb/precision-recall-matrix-machine-learning.JPG Precision refers to the accuracy of positive predictions. https://www.simplilearn.com/ice9/free_resources_article_thumb/precision-formula-machine-learning.JPG Recall refers to the ratio of positive instances that are correctly detected by the classifier (also known as True positive rate or TPR). https://www.simplilearn.com/ice9/free_resources_article_thumb/recall-formula-machine-learning.JPG Precision/Recall Trade-off To detect age-appropriate videos for kids, you need high precision (low recall) to ensure that only safe videos make the cut (even though a few safe videos may be left out). The high recall is needed (low precision is acceptable) in-store surveillance to catch shoplifters; a few false alarms are acceptable, but all shoplifters must be caught. Learn about Naive Bayes in detail. Click here! Decision Tree Classifier Some aspects of the Decision Tree Classifier mentioned below are. Decision Trees (DT) can be used both for classification and regression. The advantage of decision trees is that they require very little data preparation. They do not require feature scaling or centering at all. They are also the fundamental components of Random Forests, one of the most powerful ML algorithms. Unlike Random Forests and Neural Networks (which do black-box modeling), Decision Trees are white box models, which means that inner workings of these models are clearly understood. In the case of classification, the data is segregated based on a series of questions. Any new data point is assigned to the selected leaf node. https://www.simplilearn.com/ice9/free_resources_article_thumb/decision-tree-classifier-machine-learning.JPG Start at the tree root and split the data on the feature using the decision algorithm, resulting in the largest information gain (IG). This splitting procedure is then repeated in an iterative process at each child node until the leaves are pure. This means that the samples at each node belonging to the same class. In practice, you can set a limit on the depth of the tree to prevent overfitting. The purity is compromised here as the final leaves may still have some impurity. The figure shows the classification of the Iris dataset. https://www.simplilearn.com/ice9/free_resources_article_thumb/decision-tree-classifier-graph.JPG IRIS Decision Tree Let’s build a Decision Tree using scikit-learn for the Iris flower dataset and also visualize it using export_graphviz API. https://www.simplilearn.com/ice9/free_resources_article_thumb/iris-decision-tree-machine-learning.JPG The output of export_graphviz can be converted into png format: https://www.simplilearn.com/ice9/free_resources_article_thumb/iris-decision-tree-output.JPG Sample attribute stands for the number of training instances the node applies to. Value attribute stands for the number of training instances of each class the node applies to. Gini impurity measures the node’s impurity. A node is “pure” (gini=0) if all training instances it applies to belong to the same class. https://www.simplilearn.com/ice9/free_resources_article_thumb/impurity-formula-machine-learning.JPG For example, for Versicolor (green color node), the Gini is 1-(0/54)2 -(49/54)2 -(5/54) 2 ≈ 0.168 https://www.simplilearn.com/ice9/free_resources_article_thumb/iris-decision-tree-sample.JPG Decision Boundaries Let us learn to create decision boundaries below. For the first node (depth 0), the solid line splits the data (Iris-Setosa on left). Gini is 0 for Setosa node, so no further split is possible. The second node (depth 1) splits the data into Versicolor and Virginica. If max_depth were set as 3, a third split would happen (vertical dotted line). https://www.simplilearn.com/ice9/free_resources_article_thumb/decision-tree-boundaries.JPG For a sample with petal length 5 cm and petal width 1.5 cm, the tree traverses to depth 2 left node, so the probability predictions for this sample are 0% for Iris-Setosa (0/54), 90.7% for Iris-Versicolor (49/54), and 9.3% for Iris-Virginica (5/54) CART Training Algorithm Scikit-learn uses Classification and Regression Trees (CART) algorithm to train Decision Trees. CART algorithm: Split the data into two subsets using a single feature k and threshold tk (example, petal length < “2.45 cm”). This is done recursively for each node. k and tk are chosen such that they produce the purest subsets (weighted by their size). The objective is to minimize the cost function as given below: https://www.simplilearn.com/ice9/free_resources_article_thumb/cart-training-algorithm-machine-learning.JPG The algorithm stops executing if one of the following situations occurs: max_depth is reached No further splits are found for each node Other hyperparameters may be used to stop the tree: min_samples_split min_samples_leaf min_weight_fraction_leaf max_leaf_nodes Gini Impurity or Entropy Entropy is one more measure of impurity and can be used in place of Gini. https://www.simplilearn.com/ice9/free_resources_article_thumb/gini-impurity-entrophy.JPG It is a degree of uncertainty, and Information Gain is the reduction that occurs in entropy as one traverses down the tree. Entropy is zero for a DT node when the node contains instances of only one class. Entropy for depth 2 left node in the example given above is: https://www.simplilearn.com/ice9/free_resources_article_thumb/entrophy-for-depth-2.JPG Gini and Entropy both lead to similar trees. DT: Regularization The following figure shows two decision trees on the moons dataset. https://www.simplilearn.com/ice9/free_resources_article_thumb/dt-regularization-machine-learning.JPG The decision tree on the right is restricted by min_samples_leaf = 4. The model on the left is overfitting, while the model on the right generalizes better. Random Forest Classifier Let us have an understanding of Random Forest Classifier below. A random forest can be considered an ensemble of decision trees (Ensemble learning). Random Forest algorithm: Draw a random bootstrap sample of size n (randomly choose n samples from the training set). Grow a decision tree from the bootstrap sample. At each node, randomly select d features. Split the node using the feature that provides the best split according to the objective function, for instance by maximizing the information gain. Repeat the steps 1 to 2 k times. (k is the number of trees you want to create, using a subset of samples) Aggregate the prediction by each tree for a new data point to assign the class label by majority vote (pick the group selected by the most number of trees and assign new data point to that group). Random Forests are opaque, which means it is difficult to visualize their inner workings. https://www.simplilearn.com/ice9/free_resources_article_thumb/random-forest-classifier-graph.JPG However, the advantages outweigh their limitations since you do not have to worry about hyperparameters except k, which stands for the number of decision trees to be created from a subset of samples. RF is quite robust to noise from the individual decision trees. Hence, you need not prune individual decision trees. The larger the number of decision trees, the more accurate the Random Forest prediction is. (This, however, comes with higher computation cost). Key Takeaways Let us quickly run through what we have learned so far in this Classification tutorial. Classification algorithms are supervised learning methods to split data into classes. They can work on Linear Data as well as Nonlinear Data. Logistic Regression can classify data based on weighted parameters and sigmoid conversion to calculate the probability of classes. K-nearest Neighbors (KNN) algorithm uses similar features to classify data. Support Vector Machines (SVMs) classify data by detecting the maximum margin hyperplane between data classes. Naïve Bayes, a simplified Bayes Model, can help classify data using conditional probability models. Decision Trees are powerful classifiers and use tree splitting logic until pure or somewhat pure leaf node classes are attained. Random Forests apply Ensemble Learning to Decision Trees for more accurate classification predictions. Conclusion This completes ‘Classification’ tutorial. In the next tutorial, we will learn 'Unsupervised Learning with Clustering.'
ManojKumarPatnaik / Major Project ListA list of practical projects that anyone can solve in any programming language (See solutions). These projects are divided into multiple categories, and each category has its own folder. To get started, simply fork this repo. CONTRIBUTING See ways of contributing to this repo. You can contribute solutions (will be published in this repo) to existing problems, add new projects, or remove existing ones. Make sure you follow all instructions properly. Solutions You can find implementations of these projects in many other languages by other users in this repo. Credits Problems are motivated by the ones shared at: Martyr2’s Mega Project List Rosetta Code Table of Contents Numbers Classic Algorithms Graph Data Structures Text Networking Classes Threading Web Files Databases Graphics and Multimedia Security Numbers Find PI to the Nth Digit - Enter a number and have the program generate PI up to that many decimal places. Keep a limit to how far the program will go. Find e to the Nth Digit - Just like the previous problem, but with e instead of PI. Enter a number and have the program generate e up to that many decimal places. Keep a limit to how far the program will go. Fibonacci Sequence - Enter a number and have the program generate the Fibonacci sequence to that number or to the Nth number. Prime Factorization - Have the user enter a number and find all Prime Factors (if there are any) and display them. Next Prime Number - Have the program find prime numbers until the user chooses to stop asking for the next one. Find Cost of Tile to Cover W x H Floor - Calculate the total cost of the tile it would take to cover a floor plan of width and height, using a cost entered by the user. Mortgage Calculator - Calculate the monthly payments of a fixed-term mortgage over given Nth terms at a given interest rate. Also, figure out how long it will take the user to pay back the loan. For added complexity, add an option for users to select the compounding interval (Monthly, Weekly, Daily, Continually). Change Return Program - The user enters a cost and then the amount of money given. The program will figure out the change and the number of quarters, dimes, nickels, pennies needed for the change. Binary to Decimal and Back Converter - Develop a converter to convert a decimal number to binary or a binary number to its decimal equivalent. Calculator - A simple calculator to do basic operators. Make it a scientific calculator for added complexity. Unit Converter (temp, currency, volume, mass, and more) - Converts various units between one another. The user enters the type of unit being entered, the type of unit they want to convert to, and then the value. The program will then make the conversion. Alarm Clock - A simple clock where it plays a sound after X number of minutes/seconds or at a particular time. Distance Between Two Cities - Calculates the distance between two cities and allows the user to specify a unit of distance. This program may require finding coordinates for the cities like latitude and longitude. Credit Card Validator - Takes in a credit card number from a common credit card vendor (Visa, MasterCard, American Express, Discoverer) and validates it to make sure that it is a valid number (look into how credit cards use a checksum). Tax Calculator - Asks the user to enter a cost and either a country or state tax. It then returns the tax plus the total cost with tax. Factorial Finder - The Factorial of a positive integer, n, is defined as the product of the sequence n, n-1, n-2, ...1, and the factorial of zero, 0, is defined as being 1. Solve this using both loops and recursion. Complex Number Algebra - Show addition, multiplication, negation, and inversion of complex numbers in separate functions. (Subtraction and division operations can be made with pairs of these operations.) Print the results for each operation tested. Happy Numbers - A happy number is defined by the following process. Starting with any positive integer, replace the number by the sum of the squares of its digits, and repeat the process until the number equals 1 (where it will stay), or it loops endlessly in a cycle which does not include 1. Those numbers for which this process ends in 1 are happy numbers, while those that do not end in 1 are unhappy numbers. Display an example of your output here. Find the first 8 happy numbers. Number Names - Show how to spell out a number in English. You can use a preexisting implementation or roll your own, but you should support inputs up to at least one million (or the maximum value of your language's default bounded integer type if that's less). Optional: Support for inputs other than positive integers (like zero, negative integers, and floating-point numbers). Coin Flip Simulation - Write some code that simulates flipping a single coin however many times the user decides. The code should record the outcomes and count the number of tails and heads. Limit Calculator - Ask the user to enter f(x) and the limit value, then return the value of the limit statement Optional: Make the calculator capable of supporting infinite limits. Fast Exponentiation - Ask the user to enter 2 integers a and b and output a^b (i.e. pow(a,b)) in O(LG n) time complexity. Classic Algorithms Collatz Conjecture - Start with a number n > 1. Find the number of steps it takes to reach one using the following process: If n is even, divide it by 2. If n is odd, multiply it by 3 and add 1. Sorting - Implement two types of sorting algorithms: Merge sort and bubble sort. Closest pair problem - The closest pair of points problem or closest pair problem is a problem of computational geometry: given n points in metric space, find a pair of points with the smallest distance between them. Sieve of Eratosthenes - The sieve of Eratosthenes is one of the most efficient ways to find all of the smaller primes (below 10 million or so). Graph Graph from links - Create a program that will create a graph or network from a series of links. Eulerian Path - Create a program that will take as an input a graph and output either an Eulerian path or an Eulerian cycle, or state that it is not possible. An Eulerian path starts at one node and traverses every edge of a graph through every node and finishes at another node. An Eulerian cycle is an eulerian Path that starts and finishes at the same node. Connected Graph - Create a program that takes a graph as an input and outputs whether every node is connected or not. Dijkstra’s Algorithm - Create a program that finds the shortest path through a graph using its edges. Minimum Spanning Tree - Create a program that takes a connected, undirected graph with weights and outputs the minimum spanning tree of the graph i.e., a subgraph that is a tree, contains all the vertices, and the sum of its weights is the least possible. Data Structures Inverted index - An Inverted Index is a data structure used to create full-text search. Given a set of text files, implement a program to create an inverted index. Also, create a user interface to do a search using that inverted index which returns a list of files that contain the query term/terms. The search index can be in memory. Text Fizz Buzz - Write a program that prints the numbers from 1 to 100. But for multiples of three print “Fizz” instead of the number and for the multiples of five print “Buzz”. For numbers which are multiples of both three and five print “FizzBuzz”. Reverse a String - Enter a string and the program will reverse it and print it out. Pig Latin - Pig Latin is a game of alterations played in the English language game. To create the Pig Latin form of an English word the initial consonant sound is transposed to the end of the word and an ay is affixed (Ex.: "banana" would yield anana-bay). Read Wikipedia for more information on rules. Count Vowels - Enter a string and the program counts the number of vowels in the text. For added complexity have it report a sum of each vowel found. Check if Palindrome - Checks if the string entered by the user is a palindrome. That is that it reads the same forwards as backward like “racecar” Count Words in a String - Counts the number of individual words in a string. For added complexity read these strings in from a text file and generate a summary. Text Editor - Notepad-style application that can open, edit, and save text documents. Optional: Add syntax highlighting and other features. RSS Feed Creator - Given a link to RSS/Atom Feed, get all posts and display them. Quote Tracker (market symbols etc) - A program that can go out and check the current value of stocks for a list of symbols entered by the user. The user can set how often the stocks are checked. For CLI, show whether the stock has moved up or down. Optional: If GUI, the program can show green up and red down arrows to show which direction the stock value has moved. Guestbook / Journal - A simple application that allows people to add comments or write journal entries. It can allow comments or not and timestamps for all entries. Could also be made into a shoutbox. Optional: Deploy it on Google App Engine or Heroku or any other PaaS (if possible, of course). Vigenere / Vernam / Ceasar Ciphers - Functions for encrypting and decrypting data messages. Then send them to a friend. Regex Query Tool - A tool that allows the user to enter a text string and then in a separate control enter a regex pattern. It will run the regular expression against the source text and return any matches or flag errors in the regular expression. Networking FTP Program - A file transfer program that can transfer files back and forth from a remote web sever. Bandwidth Monitor - A small utility program that tracks how much data you have uploaded and downloaded from the net during the course of your current online session. See if you can find out what periods of the day you use more and less and generate a report or graph that shows it. Port Scanner - Enter an IP address and a port range where the program will then attempt to find open ports on the given computer by connecting to each of them. On any successful connections mark the port as open. Mail Checker (POP3 / IMAP) - The user enters various account information include web server and IP, protocol type (POP3 or IMAP), and the application will check for email at a given interval. Country from IP Lookup - Enter an IP address and find the country that IP is registered in. Optional: Find the Ip automatically. Whois Search Tool - Enter an IP or host address and have it look it up through whois and return the results to you. Site Checker with Time Scheduling - An application that attempts to connect to a website or server every so many minute or a given time and check if it is up. If it is down, it will notify you by email or by posting a notice on the screen. Classes Product Inventory Project - Create an application that manages an inventory of products. Create a product class that has a price, id, and quantity on hand. Then create an inventory class that keeps track of various products and can sum up the inventory value. Airline / Hotel Reservation System - Create a reservation system that books airline seats or hotel rooms. It charges various rates for particular sections of the plane or hotel. For example, first class is going to cost more than a coach. Hotel rooms have penthouse suites which cost more. Keep track of when rooms will be available and can be scheduled. Company Manager - Create a hierarchy of classes - abstract class Employee and subclasses HourlyEmployee, SalariedEmployee, Manager, and Executive. Everyone's pay is calculated differently, research a bit about it. After you've established an employee hierarchy, create a Company class that allows you to manage the employees. You should be able to hire, fire, and raise employees. Bank Account Manager - Create a class called Account which will be an abstract class for three other classes called CheckingAccount, SavingsAccount, and BusinessAccount. Manage credits and debits from these accounts through an ATM-style program. Patient / Doctor Scheduler - Create a patient class and a doctor class. Have a doctor that can handle multiple patients and set up a scheduling program where a doctor can only handle 16 patients during an 8 hr workday. Recipe Creator and Manager - Create a recipe class with ingredients and put them in a recipe manager program that organizes them into categories like desserts, main courses, or by ingredients like chicken, beef, soups, pies, etc. Image Gallery - Create an image abstract class and then a class that inherits from it for each image type. Put them in a program that displays them in a gallery-style format for viewing. Shape Area and Perimeter Classes - Create an abstract class called Shape and then inherit from it other shapes like diamond, rectangle, circle, triangle, etc. Then have each class override the area and perimeter functionality to handle each shape type. Flower Shop Ordering To Go - Create a flower shop application that deals in flower objects and use those flower objects in a bouquet object which can then be sold. Keep track of the number of objects and when you may need to order more. Family Tree Creator - Create a class called Person which will have a name, when they were born, and when (and if) they died. Allow the user to create these Person classes and put them into a family tree structure. Print out the tree to the screen. Threading Create A Progress Bar for Downloads - Create a progress bar for applications that can keep track of a download in progress. The progress bar will be on a separate thread and will communicate with the main thread using delegates. Bulk Thumbnail Creator - Picture processing can take a bit of time for some transformations. Especially if the image is large. Create an image program that can take hundreds of images and converts them to a specified size in the background thread while you do other things. For added complexity, have one thread handling re-sizing, have another bulk renaming of thumbnails, etc. Web Page Scraper - Create an application that connects to a site and pulls out all links, or images, and saves them to a list. Optional: Organize the indexed content and don’t allow duplicates. Have it put the results into an easily searchable index file. Online White Board - Create an application that allows you to draw pictures, write notes and use various colors to flesh out ideas for projects. Optional: Add a feature to invite friends to collaborate on a whiteboard online. Get Atomic Time from Internet Clock - This program will get the true atomic time from an atomic time clock on the Internet. Use any one of the atomic clocks returned by a simple Google search. Fetch Current Weather - Get the current weather for a given zip/postal code. Optional: Try locating the user automatically. Scheduled Auto Login and Action - Make an application that logs into a given site on a schedule and invokes a certain action and then logs out. This can be useful for checking webmail, posting regular content, or getting info for other applications and saving it to your computer. E-Card Generator - Make a site that allows people to generate their own little e-cards and send them to other people. Do not use Flash. Use a picture library and perhaps insightful mottos or quotes. Content Management System - Create a content management system (CMS) like Joomla, Drupal, PHP Nuke, etc. Start small. Optional: Allow for the addition of modules/addons. Web Board (Forum) - Create a forum for you and your buddies to post, administer and share thoughts and ideas. CAPTCHA Maker - Ever see those images with letters numbers when you signup for a service and then ask you to enter what you see? It keeps web bots from automatically signing up and spamming. Try creating one yourself for online forms. Files Quiz Maker - Make an application that takes various questions from a file, picked randomly, and puts together a quiz for students. Each quiz can be different and then reads a key to grade the quizzes. Sort Excel/CSV File Utility - Reads a file of records, sorts them, and then writes them back to the file. Allow the user to choose various sort style and sorting based on a particular field. Create Zip File Maker - The user enters various files from different directories and the program zips them up into a zip file. Optional: Apply actual compression to the files. Start with Huffman Algorithm. PDF Generator - An application that can read in a text file, HTML file, or some other file and generates a PDF file out of it. Great for a web-based service where the user uploads the file and the program returns a PDF of the file. Optional: Deploy on GAE or Heroku if possible. Mp3 Tagger - Modify and add ID3v1 tags to MP3 files. See if you can also add in the album art into the MP3 file’s header as well as other ID3v2 tags. Code Snippet Manager - Another utility program that allows coders to put in functions, classes, or other tidbits to save for use later. Organized by the type of snippet or language the coder can quickly lookup code. Optional: For extra practice try adding syntax highlighting based on the language. Databases SQL Query Analyzer - A utility application in which a user can enter a query and have it run against a local database and look for ways to make it more efficient. Remote SQL Tool - A utility that can execute queries on remote servers from your local computer across the Internet. It should take in a remote host, user name, and password, run the query and return the results. Report Generator - Create a utility that generates a report based on some tables in a database. Generates sales reports based on the order/order details tables or sums up the day's current database activity. Event Scheduler and Calendar - Make an application that allows the user to enter a date and time of an event, event notes, and then schedule those events on a calendar. The user can then browse the calendar or search the calendar for specific events. Optional: Allow the application to create re-occurrence events that reoccur every day, week, month, year, etc. Budget Tracker - Write an application that keeps track of a household’s budget. The user can add expenses, income, and recurring costs to find out how much they are saving or losing over a period of time. Optional: Allow the user to specify a date range and see the net flow of money in and out of the house budget for that time period. TV Show Tracker - Got a favorite show you don’t want to miss? Don’t have a PVR or want to be able to find the show to then PVR it later? Make an application that can search various online TV Guide sites, locate the shows/times/channels and add them to a database application. The database/website then can send you email reminders that a show is about to start and which channel it will be on. Travel Planner System - Make a system that allows users to put together their own little travel itinerary and keep track of the airline/hotel arrangements, points of interest, budget, and schedule. Graphics and Multimedia Slide Show - Make an application that shows various pictures in a slide show format. Optional: Try adding various effects like fade in/out, star wipe, and window blinds transitions. Stream Video from Online - Try to create your own online streaming video player. Mp3 Player - A simple program for playing your favorite music files. Add features you think are missing from your favorite music player. Watermarking Application - Have some pictures you want copyright protected? Add your own logo or text lightly across the background so that no one can simply steal your graphics off your site. Make a program that will add this watermark to the picture. Optional: Use threading to process multiple images simultaneously. Turtle Graphics - This is a common project where you create a floor of 20 x 20 squares. Using various commands you tell a turtle to draw a line on the floor. You have moved forward, left or right, lift or drop the pen, etc. Do a search online for "Turtle Graphics" for more information. Optional: Allow the program to read in the list of commands from a file. GIF Creator A program that puts together multiple images (PNGs, JPGs, TIFFs) to make a smooth GIF that can be exported. Optional: Make the program convert small video files to GIFs as well. Security Caesar cipher - Implement a Caesar cipher, both encoding, and decoding. The key is an integer from 1 to 25. This cipher rotates the letters of the alphabet (A to Z). The encoding replaces each letter with the 1st to 25th next letter in the alphabet (wrapping Z to A). So key 2 encrypts "HI" to "JK", but key 20 encrypts "HI" to "BC". This simple "monoalphabetic substitution cipher" provides almost no security, because an attacker who has the encoded message can either use frequency analysis to guess the key, or just try all 25 keys.
sanusanth / Python Basic ProgramsWhat is Python? Executive Summary Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed. Often, programmers fall in love with Python because of the increased productivity it provides. Since there is no compilation step, the edit-test-debug cycle is incredibly fast. Debugging Python programs is easy: a bug or bad input will never cause a segmentation fault. Instead, when the interpreter discovers an error, it raises an exception. When the program doesn't catch the exception, the interpreter prints a stack trace. A source level debugger allows inspection of local and global variables, evaluation of arbitrary expressions, setting breakpoints, stepping through the code a line at a time, and so on. The debugger is written in Python itself, testifying to Python's introspective power. On the other hand, often the quickest way to debug a program is to add a few print statements to the source: the fast edit-test-debug cycle makes this simple approach very effective. What is Python? Python is a popular programming language. It was created by Guido van Rossum, and released in 1991. It is used for: web development (server-side), software development, mathematics, system scripting. What can Python do? Python can be used on a server to create web applications. Python can be used alongside software to create workflows. Python can connect to database systems. It can also read and modify files. Python can be used to handle big data and perform complex mathematics. Python can be used for rapid prototyping, or for production-ready software development. Why Python? Python works on different platforms (Windows, Mac, Linux, Raspberry Pi, etc). Python has a simple syntax similar to the English language. Python has syntax that allows developers to write programs with fewer lines than some other programming languages. Python runs on an interpreter system, meaning that code can be executed as soon as it is written. This means that prototyping can be very quick. Python can be treated in a procedural way, an object-oriented way or a functional way. Good to know The most recent major version of Python is Python 3, which we shall be using in this tutorial. However, Python 2, although not being updated with anything other than security updates, is still quite popular. In this tutorial Python will be written in a text editor. It is possible to write Python in an Integrated Development Environment, such as Thonny, Pycharm, Netbeans or Eclipse which are particularly useful when managing larger collections of Python files. Python Syntax compared to other programming languages Python was designed for readability, and has some similarities to the English language with influence from mathematics. Python uses new lines to complete a command, as opposed to other programming languages which often use semicolons or parentheses. Python relies on indentation, using whitespace, to define scope; such as the scope of loops, functions and classes. Other programming languages often use curly-brackets for this purpose. Applications for Python Python is used in many application domains. Here's a sampling. The Python Package Index lists thousands of third party modules for Python. Web and Internet Development Python offers many choices for web development: Frameworks such as Django and Pyramid. Micro-frameworks such as Flask and Bottle. Advanced content management systems such as Plone and django CMS. Python's standard library supports many Internet protocols: HTML and XML JSON E-mail processing. Support for FTP, IMAP, and other Internet protocols. Easy-to-use socket interface. And the Package Index has yet more libraries: Requests, a powerful HTTP client library. Beautiful Soup, an HTML parser that can handle all sorts of oddball HTML. Feedparser for parsing RSS/Atom feeds. Paramiko, implementing the SSH2 protocol. Twisted Python, a framework for asynchronous network programming. Scientific and Numeric Python is widely used in scientific and numeric computing: SciPy is a collection of packages for mathematics, science, and engineering. Pandas is a data analysis and modeling library. IPython is a powerful interactive shell that features easy editing and recording of a work session, and supports visualizations and parallel computing. The Software Carpentry Course teaches basic skills for scientific computing, running bootcamps and providing open-access teaching materials. Education Python is a superb language for teaching programming, both at the introductory level and in more advanced courses. Books such as How to Think Like a Computer Scientist, Python Programming: An Introduction to Computer Science, and Practical Programming. The Education Special Interest Group is a good place to discuss teaching issues. Desktop GUIs The Tk GUI library is included with most binary distributions of Python. Some toolkits that are usable on several platforms are available separately: wxWidgets Kivy, for writing multitouch applications. Qt via pyqt or pyside Platform-specific toolkits are also available: GTK+ Microsoft Foundation Classes through the win32 extensions Software Development Python is often used as a support language for software developers, for build control and management, testing, and in many other ways. SCons for build control. Buildbot and Apache Gump for automated continuous compilation and testing. Roundup or Trac for bug tracking and project management. Business Applications Python is also used to build ERP and e-commerce systems: Odoo is an all-in-one management software that offers a range of business applications that form a complete suite of enterprise management applications. Try ton is a three-tier high-level general purpose application platform.
thalesgroup-cert / SuspiciousAI-powered phishing & threat-analysis platform to automatically inspect, classify, and report suspicious emails, files, URLs, IPs, and hashes built for teams and organizations
Rynkll696 / HHimport pyttsx3 import speech_recognition as sr import datetime from datetime import date import calendar import time import math import wikipedia import webbrowser import os import smtplib import winsound import pyautogui import cv2 from pygame import mixer from tkinter import * import tkinter.messagebox as message from sqlite3 import * conn = connect("voice_assistant_asked_questions.db") conn.execute("CREATE TABLE IF NOT EXISTS `voicedata`(id INTEGER PRIMARY KEY AUTOINCREMENT,command VARCHAR(201))") conn.execute("CREATE TABLE IF NOT EXISTS `review`(id INTEGER PRIMARY KEY AUTOINCREMENT, review VARCHAR(50), type_of_review VARCHAR(50))") conn.execute("CREATE TABLE IF NOT EXISTS `emoji`(id INTEGER PRIMARY KEY AUTOINCREMENT,emoji VARCHAR(201))") global query engine = pyttsx3.init('sapi5') voices = engine.getProperty('voices') engine.setProperty('voice', voices[0].id) def speak(audio): engine.say(audio) engine.runAndWait() def wishMe(): hour = int(datetime.datetime.now().hour) if hour >= 0 and hour<12: speak("Good Morning!") elif hour >= 12 and hour < 18: speak("Good Afternoon!") else: speak("Good Evening!") speak("I am voice assistant Akshu2020 Sir. Please tell me how may I help you.") def takeCommand(): global query r = sr.Recognizer() with sr.Microphone() as source: print("Listening...") r.pause_threshold = 0.9 audio = r.listen(source) try: print("Recognizing...") query = r.recognize_google(audio,language='en-in') print(f"User said: {query}\n") except Exception as e: #print(e) print("Say that again please...") #speak('Say that again please...') return "None" return query def calculator(): global query try: if 'add' in query or 'edi' in query: speak('Enter a number') a = float(input("Enter a number:")) speak('Enter another number to add') b = float(input("Enter another number to add:")) c = a+b print(f"{a} + {b} = {c}") speak(f'The addition of {a} and {b} is {c}. Your answer is {c}') speak('Do you want to do another calculation?') query = takeCommand().lower() if 'y' in query: speak('ok which calculation you want to do?') query = takeCommand().lower() calculator() else: speak('ok') elif 'sub' in query: speak('Enter a number') a = float(input("Enter a number:")) speak('Enter another number to subtract') b = float(input("Enter another number to subtract:")) c = a-b print(f"{a} - {b} = {c}") speak(f'The subtraction of {a} and {b} is {c}. Your answer is {c}') speak('Do you want to do another calculation?') query = takeCommand().lower() if 'y' in query: speak('ok which calculation you want to do?') query = takeCommand().lower() calculator() else: speak('ok') elif 'mod' in query: speak('Enter a number') a = float(input("Enter a number:")) speak('Enter another number') b = float(input("Enter another number:")) c = a%b print(f"{a} % {b} = {c}") speak(f'The modular division of {a} and {b} is equal to {c}. Your answer is {c}') speak('Do you want to do another calculation?') query = takeCommand().lower() if 'y' in query: speak('ok which calculation you want to do?') query = takeCommand().lower() calculator() else: speak('ok') elif 'div' in query: speak('Enter a number as dividend') a = float(input("Enter a number:")) speak('Enter another number as divisor') b = float(input("Enter another number as divisor:")) c = a/b print(f"{a} / {b} = {c}") speak(f'{a} divided by {b} is equal to {c}. Your answer is {c}') speak('Do you want to do another calculation?') query = takeCommand().lower() if 'y' in query: speak('ok which calculation you want to do?') query = takeCommand().lower() calculator() else: speak('ok') elif 'multi' in query: speak('Enter a number') a = float(input("Enter a number:")) speak('Enter another number to multiply') b = float(input("Enter another number to multiply:")) c = a*b print(f"{a} x {b} = {c}") speak(f'The multiplication of {a} and {b} is {c}. Your answer is {c}') speak('Do you want to do another calculation?') query = takeCommand().lower() if 'y' in query: speak('ok which calculation you want to do?') query = takeCommand().lower() calculator() else: speak('ok') elif 'square root' in query: speak('Enter a number to find its sqare root') a = float(input("Enter a number:")) c = a**(1/2) print(f"Square root of {a} = {c}") speak(f'Square root of {a} is {c}. Your answer is {c}') speak('Do you want to do another calculation?') query = takeCommand().lower() if 'y' in query: speak('ok which calculation you want to do?') query = takeCommand().lower() calculator() else: speak('ok') elif 'square' in query: speak('Enter a number to find its sqare') a = float(input("Enter a number:")) c = a**2 print(f"{a} x {a} = {c}") speak(f'Square of {a} is {c}. Your answer is {c}') speak('Do you want to do another calculation?') query = takeCommand().lower() if 'y' in query: speak('ok which calculation you want to do?') query = takeCommand().lower() calculator() else: speak('ok') elif 'cube root' in query: speak('Enter a number to find its cube root') a = float(input("Enter a number:")) c = a**(1/3) print(f"Cube root of {a} = {c}") speak(f'Cube root of {a} is {c}. Your answer is {c}') speak('Do you want to do another calculation?') query = takeCommand().lower() if 'y' in query: speak('ok which calculation you want to do?') query = takeCommand().lower() calculator() else: speak('ok') elif 'cube' in query: speak('Enter a number to find its sqare') a = float(input("Enter a number:")) c = a**3 print(f"{a} x {a} x {a} = {c}") speak(f'Cube of {a} is {c}. Your answer is {c}') speak('Do you want to do another calculation?') query = takeCommand().lower() if 'y' in query: speak('ok which calculation you want to do?') query = takeCommand().lower() calculator() else: speak('ok') elif 'fact' in query: try: n = int(input('Enter the number whose factorial you want to find:')) fact = 1 for i in range(1,n+1): fact = fact*i print(f"{n}! = {fact}") speak(f'{n} factorial is equal to {fact}. Your answer is {fact}.') speak('Do you want to do another calculation?') query = takeCommand().lower() if 'y' in query: speak('ok which calculation you want to do?') query = takeCommand().lower() calculator() else: speak('ok') except Exception as e: #print(e) speak('I unable to calculate its factorial.') speak('Do you want to do another calculation?') query = takeCommand().lower() if 'y' in query: speak('ok which calculation you want to do?') query = takeCommand().lower() calculator() else: speak('ok') elif 'power' in query or 'raise' in query: speak('Enter a number whose power you want to raised') a = float(input("Enter a number whose power to be raised :")) speak(f'Enter a raised power to {a}') b = float(input(f"Enter a raised power to {a}:")) c = a**b print(f"{a} ^ {b} = {c}") speak(f'{a} raise to the power {b} = {c}. Your answer is {c}') speak('Do you want to do another calculation?') query = takeCommand().lower() if 'y' in query: speak('ok which calculation you want to do?') query = takeCommand().lower() calculator() else: speak('ok') elif 'percent' in query: speak('Enter a number whose percentage you want to calculate') a = float(input("Enter a number whose percentage you want to calculate :")) speak(f'How many percent of {a} you want to calculate?') b = float(input(f"Enter how many percentage of {a} you want to calculate:")) c = (a*b)/100 print(f"{b} % of {a} is {c}") speak(f'{b} percent of {a} is {c}. Your answer is {c}') speak('Do you want to do another calculation?') query = takeCommand().lower() if 'y' in query: speak('ok which calculation you want to do?') query = takeCommand().lower() calculator() else: speak('ok') elif 'interest' in query: speak('Enter the principal value or amount') p = float(input("Enter the principal value (P):")) speak('Enter the rate of interest per year') r = float(input("Enter the rate of interest per year (%):")) speak('Enter the time in months') t = int(input("Enter the time (in months):")) interest = (p*r*t)/1200 sint = round(interest) fv = round(p + interest) print(f"Interest = {interest}") print(f"The total amount accured, principal plus interest, from simple interest on a principal of {p} at a rate of {r}% per year for {t} months is {p + interest}.") speak(f'interest is {sint}. The total amount accured, principal plus interest, from simple interest on a principal of {p} at a rate of {r}% per year for {t} months is {fv}') speak('Do you want to do another calculation?') query = takeCommand().lower() if 'y' in query: speak('ok which calculation you want to do?') query = takeCommand().lower() calculator() else: speak('ok') elif 'si' in query: speak('Enter the angle in degree to find its sine value') a = float(input("Enter the angle:")) b = a * 3.14/180 c = math.sin(b) speak('Here is your answer.') print(f"sin({a}) = {c}") speak(f'sin({a}) = {c}') speak('Do you want to do another calculation?') query = takeCommand().lower() if 'y' in query: speak('ok which calculation you want to do?') query = takeCommand().lower() calculator() else: speak('ok') elif 'cos' in query: speak('Enter the angle in degree to find its cosine value') a = float(input("Enter the angle:")) b = a * 3.14/180 c = math.cos(b) speak('Here is your answer.') print(f"cos({a}) = {c}") speak(f'cos({a}) = {c}') speak('Do you want to do another calculation?') query = takeCommand().lower() if 'y' in query: speak('ok which calculation you want to do?') query = takeCommand().lower() calculator() else: speak('ok') elif 'cot' in query or 'court' in query: try: speak('Enter the angle in degree to find its cotangent value') a = float(input("Enter the angle:")) b = a * 3.14/180 c = 1/math.tan(b) speak('Here is your answer.') print(f"cot({a}) = {c}") speak(f'cot({a}) = {c}') speak('Do you want to do another calculation?') query = takeCommand().lower() if 'y' in query: speak('ok which calculation you want to do?') query = takeCommand().lower() calculator() else: speak('ok') except Exception as e: print("infinity") speak('Answer is infinity') speak('Do you want to do another calculation?') query = takeCommand().lower() if 'y' in query: speak('ok which calculation you want to do?') query = takeCommand().lower() calculator() else: speak('ok') elif 'tan' in query or '10' in query: speak('Enter the angle in degree to find its tangent value') a = float(input("Enter the angle:")) b = a * 3.14/180 c = math.tan(b) speak('Here is your answer.') print(f"tan({a}) = {c}") speak(f'tan({a}) = {c}') speak('Do you want to do another calculation?') query = takeCommand().lower() if 'y' in query: speak('ok which calculation you want to do?') query = takeCommand().lower() calculator() else: speak('ok') elif 'cosec' in query: try: speak('Enter the angle in degree to find its cosecant value') a = float(input("Enter the angle:")) b = a * 3.14/180 c =1/ math.sin(b) speak('Here is your answer.') print(f"cosec({a}) = {c}") speak(f'cosec({a}) = {c}') speak('Do you want to do another calculation?') query = takeCommand().lower() if 'y' in query: speak('ok which calculation you want to do?') query = takeCommand().lower() calculator() else: speak('ok') except Exception as e: print('Infinity') speak('Answer is infinity') speak('Do you want to do another calculation?') query = takeCommand().lower() if 'y' in query: speak('ok which calculation you want to do?') query = takeCommand().lower() calculator() else: speak('ok') elif 'caus' in query: try: speak('Enter the angle in degree to find its cosecant value') a = float(input("Enter the angle:")) b = a * 3.14/180 c =1/ math.sin(b) speak('Here is your answer.') print(f"cosec({a}) = {c}") speak(f'cosec({a}) = {c}') speak('Do you want to do another calculation?') query = takeCommand().lower() if 'y' in query: speak('ok which calculation you want to do?') query = takeCommand().lower() calculator() else: speak('ok') except Exception as e: print('Infinity') speak('Answer is infinity') speak('Do you want to do another calculation?') query = takeCommand().lower() if 'y' in query: speak('ok which calculation you want to do?') query = takeCommand().lower() calculator() else: speak('ok') elif 'sec' in query: try: speak('Enter the angle in degree to find its secant value') a = int(input("Enter the angle:")) b = a * 3.14/180 c = 1/math.cos(b) speak('Here is your answer.') print(f"sec({a}) = {c}") speak(f'sec({a}) = {c}') speak('Do you want to do another calculation?') query = takeCommand().lower() if 'y' in query: speak('ok which calculation you want to do?') query = takeCommand().lower() calculator() else: speak('ok') except Exception as e: print('Infinity') speak('Answer is infinity') speak('Do you want to do another calculation?') query = takeCommand().lower() if 'y' in query: speak('ok which calculation you want to do?') query = takeCommand().lower() calculator() else: speak('ok') except Exception as e: speak('I unable to do this calculation.') speak('Do you want to do another calculation?') query = takeCommand().lower() if 'y' in query: speak('ok which calculation you want to do?') query = takeCommand().lower() calculator() else: speak('ok') def callback(r,c): global player if player == 'X' and states[r][c] == 0 and stop_game == False: b[r][c].configure(text='X',fg='blue', bg='white') states[r][c] = 'X' player = 'O' if player == 'O' and states[r][c] == 0 and stop_game == False: b[r][c].configure(text='O',fg='red', bg='yellow') states[r][c] = 'O' player = 'X' check_for_winner() def check_for_winner(): global stop_game global root for i in range(3): if states[i][0] == states[i][1]== states[i][2]!=0: b[i][0].config(bg='grey') b[i][1].config(bg='grey') b[i][2].config(bg='grey') stop_game = True root.destroy() for i in range(3): if states[0][i] == states[1][i] == states[2][i]!= 0: b[0][i].config(bg='grey') b[1][i].config(bg='grey') b[2][i].config(bg='grey') stop_game = True root.destroy() if states[0][0] == states[1][1]== states[2][2]!= 0: b[0][0].config(bg='grey') b[1][1].config(bg='grey') b[2][2].config(bg='grey') stop_game = True root.destroy() if states[2][0] == states[1][1] == states[0][2]!= 0: b[2][0].config(bg='grey') b[1][1].config(bg='grey') b[0][2].config(bg='grey') stop_game = True root.destroy() def sendEmail(to,content): server = smtplib.SMTP('smtp.gmail.com', 587) server.ehlo() server.starttls() server.login('xyz123@gmail.com','password') server.sendmail('xyz123@gmail.com',to,content) server.close() def brightness(): try: query = takeCommand().lower() if '25' in query: pyautogui.moveTo(1880,1050) pyautogui.click() time.sleep(1) pyautogui.moveTo(1610,960) pyautogui.click() pyautogui.moveTo(1880,1050) pyautogui.click() speak('If you again want to change brihtness, say, change brightness') elif '50' in query: pyautogui.moveTo(1880,1050) pyautogui.click() time.sleep(1) pyautogui.moveTo(1684,960) pyautogui.click() pyautogui.moveTo(1880,1050) pyautogui.click() speak('If you again want to change brihtness, say, change brightness') elif '75' in query: pyautogui.moveTo(1880,1050) pyautogui.click() time.sleep(1) pyautogui.moveTo(1758,960) pyautogui.click() pyautogui.moveTo(1880,1050) pyautogui.click() speak('If you again want to change brihtness, say, change brightness') elif '100' in query or 'full' in query: pyautogui.moveTo(1880,1050) pyautogui.click() time.sleep(1) pyautogui.moveTo(1835,960) pyautogui.click() pyautogui.moveTo(1880,1050) pyautogui.click() speak('If you again want to change brihtness, say, change brightness') else: speak('Please select 25, 50, 75 or 100....... Say again.') brightness() except exception as e: #print(e) speak('Something went wrong') def close_window(): try: if 'y' in query: pyautogui.moveTo(1885,10) pyautogui.click() else: speak('ok') pyautogui.moveTo(1000,500) except exception as e: #print(e) speak('error') def whatsapp(): query = takeCommand().lower() if 'y' in query: pyautogui.moveTo(250,1200) pyautogui.click() time.sleep(1) pyautogui.write('whatsapp') time.sleep(2) pyautogui.press('enter') time.sleep(2) pyautogui.moveTo(100,140) pyautogui.click() speak('To whom you want to send message,.....just write the name here in 5 seconds') time.sleep(7) pyautogui.moveTo(120,300) pyautogui.click() time.sleep(1) pyautogui.moveTo(800,990) pyautogui.click() speak('Say the message,....or if you want to send anything else,...say send document, or say send emoji') query = takeCommand() if ('sent' in query or 'send' in query) and 'document' in query: pyautogui.moveTo(660,990) pyautogui.click() time.sleep(1) pyautogui.moveTo(660,740) pyautogui.click() speak('please select the document within 10 seconds') time.sleep(12) speak('Should I send this document?') query = takeCommand().lower() if 'y' in query and 'no' not in query: speak('sending the document......') pyautogui.press('enter') speak('Do you want to send message again to anyone?') whatsapp() elif ('remove' in query or 'cancel' in query or 'delete' in query or 'clear' in query) and ('document' in query or 'message' in query or 'it' in query or 'emoji' in query or 'select' in query): pyautogui.doubleClick(x=800, y=990) pyautogui.press('backspace') speak('Do you want to send message again to anyone?') whatsapp() else: speak('ok') elif ('sent' in query or 'send' in query) and 'emoji' in query: pyautogui.moveTo(620,990) pyautogui.click() pyautogui.moveTo(670,990) pyautogui.click() pyautogui.moveTo(650,580) pyautogui.click() speak('please select the emoji within 10 seconds') time.sleep(11) speak('Should I send this emoji?') query = takeCommand().lower() if 'y' in query and 'no' not in query: speak('Sending the emoji......') pyautogui.press('enter') speak('Do you want to send message again to anyone?') whatsapp() elif ('remove' in query or 'cancel' in query or 'delete' in query or 'clear' in query) and ('message' in query or 'it' in query or 'emoji' in query or 'select' in query): pyautogui.doublClick(x=800, y=990) speak('Do you want to send message again to anyone?') whatsapp() else: speak('ok') else: pyautogui.write(f'{query}') speak('Should I send this message?') query = takeCommand().lower() if 'y' in query and 'no' not in query: speak('sending the message......') pyautogui.press('enter') speak('Do you want to send message again to anyone?') whatsapp() elif ('remove' in query or 'cancel' in query or 'delete' in query or 'clear' in query) and ('message' in query or 'it' in query or 'select' in query): pyautogui.doubleClick(x=800, y=990) pyautogui.press('backspace') speak('Do you want to send message again to anyone?') whatsapp() else: speak('ok') else: speak('ok') def alarm(): root = Tk() root.title('Akshu2020 Alarm-Clock') speak('Please enter the time in the format hour, minutes and seconds. When the alarm should rang?') speak('Please enter the time greater than the current time') def setalarm(): alarmtime = f"{hrs.get()}:{mins.get()}:{secs.get()}" print(alarmtime) if(alarmtime!="::"): alarmclock(alarmtime) else: speak('You have not entered the time.') def alarmclock(alarmtime): while True: time.sleep(1) time_now=datetime.datetime.now().strftime("%H:%M:%S") print(time_now) if time_now == alarmtime: Wakeup=Label(root, font = ('arial', 20, 'bold'), text="Wake up! Wake up! Wake up",bg="DodgerBlue2",fg="white").grid(row=6,columnspan=3) speak("Wake up, Wake up") print("Wake up!") mixer.init() mixer.music.load(r'C:\Users\Admin\Music\Playlists\wake-up-will-you-446.mp3') mixer.music.play() break speak('you can click on close icon to close the alarm window.') hrs=StringVar() mins=StringVar() secs=StringVar() greet=Label(root, font = ('arial', 20, 'bold'),text="Take a short nap!").grid(row=1,columnspan=3) hrbtn=Entry(root,textvariable=hrs,width=5,font =('arial', 20, 'bold')) hrbtn.grid(row=2,column=1) minbtn=Entry(root,textvariable=mins, width=5,font = ('arial', 20, 'bold')).grid(row=2,column=2) secbtn=Entry(root,textvariable=secs, width=5,font = ('arial', 20, 'bold')).grid(row=2,column=3) setbtn=Button(root,text="set alarm",command=setalarm,bg="DodgerBlue2", fg="white",font = ('arial', 20, 'bold')).grid(row=4,columnspan=3) timeleft = Label(root,font=('arial', 20, 'bold')) timeleft.grid() mainloop() def select1(): global vs global root3 global type_of_review if vs.get() == 1: message.showinfo(" ","Thank you for your review!!") review = "Very Satisfied" type_of_review = "Positive" root3.destroy() elif vs.get() == 2: message.showinfo(" ","Thank you for your review!!") review = "Satisfied" type_of_review = "Positive" root3.destroy() elif vs.get() == 3: message.showinfo(" ","Thank you for your review!!!!") review = "Neither Satisfied Nor Dissatisfied" type_of_review = "Neutral" root3.destroy() elif vs.get() == 4: message.showinfo(" ","Thank you for your review!!") review = "Dissatisfied" type_of_review = "Negative" root3.destroy() elif vs.get() == 5: message.showinfo(" ","Thank you for your review!!") review = "Very Dissatisfied" type_of_review = "Negative" root3.destroy() elif vs.get() == 6: message.showinfo(" "," Ok ") review = "I do not want to give review" type_of_review = "No review" root3.destroy() try: conn.execute(f"INSERT INTO `review`(review,type_of_review) VALUES('{review}', '{type_of_review}')") conn.commit() except Exception as e: pass def select_review(): global root3 global vs global type_of_review root3 = Tk() root3.title("Select an option") vs = IntVar() string = "Are you satisfied with my performance?" msgbox = Message(root3,text=string) msgbox.config(bg="lightgreen",font = "(20)") msgbox.grid(row=0,column=0) rs1=Radiobutton(root3,text="Very Satisfied",font="(20)",value=1,variable=vs).grid(row=1,column=0,sticky=W) rs2=Radiobutton(root3,text="Satisfied",font="(20)",value=2,variable=vs).grid(row=2,column=0,sticky=W) rs3=Radiobutton(root3,text="Neither Satisfied Nor Dissatisfied",font="(20)",value=3,variable=vs).grid(row=3,column=0,sticky=W) rs4=Radiobutton(root3,text="Dissatisfied",font="(20)",value=4,variable=vs).grid(row=4,column=0,sticky=W) rs5=Radiobutton(root3,text="Very Dissatisfied",font="(20)",value=5,variable=vs).grid(row=5,column=0,sticky=W) rs6=Radiobutton(root3,text="I don't want to give review",font="(20)",value=6,variable=vs).grid(row=6,column=0,sticky=W) bs = Button(root3,text="Submit",font="(20)",activebackground="yellow",activeforeground="green",command=select1) bs.grid(row=7,columnspan=2) root3.mainloop() while True : query = takeCommand().lower() # logic for executing tasks based on query if 'wikipedia' in query: speak('Searching wikipedia...') query = query.replace("wikipedia","") results = wikipedia.summary(query, sentences=2) speak("According to Wikipedia") print(results) speak(results) elif 'translat' in query or ('let' in query and 'translat' in query and 'open' in query): webbrowser.open('https://translate.google.co.in') time.sleep(10) elif 'open map' in query or ('let' in query and 'map' in query and 'open' in query): webbrowser.open('https://www.google.com/maps') time.sleep(10) elif ('open' in query and 'youtube' in query) or ('let' in query and 'youtube' in query and 'open' in query): webbrowser.open('https://www.youtube.com') time.sleep(10) elif 'chrome' in query: webbrowser.open('https://www.chrome.com') time.sleep(10) elif 'weather' in query: webbrowser.open('https://www.yahoo.com/news/weather') time.sleep(3) speak('Click on, change location, and enter the city , whose whether conditions you want to know.') time.sleep(10) elif 'google map' in query: webbrowser.open('https://www.google.com/maps') time.sleep(10) elif ('open' in query and 'google' in query) or ('let' in query and 'google' in query and 'open' in query): webbrowser.open('google.com') time.sleep(10) elif ('open' in query and 'stack' in query and 'overflow' in query) or ('let' in query and 'stack' in query and 'overflow' in query and 'open' in query): webbrowser.open('stackoverflow.com') time.sleep(10) elif 'open v i' in query or 'open vi' in query or 'open vierp' in query or ('open' in query and ('r p' in query or 'rp' in query)): webbrowser.open('https://www.vierp.in/login/erplogin') time.sleep(10) elif 'news' in query: webbrowser.open('https://www.bbc.com/news/world') time.sleep(10) elif 'online shop' in query or (('can' in query or 'want' in query or 'do' in query or 'could' in query) and 'shop' in query) or('let' in query and 'shop' in query): speak('From which online shopping website, you want to shop? Amazon, flipkart, snapdeal or naaptol?') query = takeCommand().lower() if 'amazon' in query: webbrowser.open('https://www.amazon.com') time.sleep(10) elif 'flip' in query: webbrowser.open('https://www.flipkart.com') time.sleep(10) elif 'snap' in query: webbrowser.open('https://www.snapdeal.com') time.sleep(10) elif 'na' in query: webbrowser.open('https://www.naaptol.com') time.sleep(10) else: speak('Sorry sir, you have to search in browser as his shopping website is not reachable for me.') elif ('online' in query and ('game' in query or 'gaming' in query)): webbrowser.open('https://www.agame.com/games') time.sleep(10) elif 'dictionary' in query: webbrowser.open('https://www.dictionary.com') time.sleep(3) speak('Enter the word, in the search bar of the dictionary, whose defination or synonyms you want to know') time.sleep(3) elif ('identif' in query and 'emoji' in query) or ('sentiment' in query and ('analysis' in query or 'identif' in query)): speak('Please enter only one emoji at a time.') emoji = input('enter emoji here: ') if '😀' in emoji or '😃' in emoji or '😄' in emoji or '😁' in emoji or '🙂' in emoji or '😊' in emoji or '☺️' in emoji or '😇' in emoji or '🥲' in emoji: speak('happy') print('Happy') elif '😝' in emoji or '😆' in emoji or '😂' in emoji or '🤣' in emoji: speak('Laughing') print('Laughing') elif '😡' in emoji or '😠' in emoji or '🤬' in emoji: speak('Angry') print('Angry') elif '🤫' in emoji: speak('Keep quite') print('Keep quite') elif '😷' in emoji: speak('face with mask') print('Face with mask') elif '🥳' in emoji: speak('party') print('party') elif '😢' in emoji or '😥' in emoji or '😓' in emoji or '😰' in emoji or '☹️' in emoji or '🙁' in emoji or '😟' in emoji or '😔' in emoji or '😞️' in emoji: speak('Sad') print('Sad') elif '😭' in emoji: speak('Crying') print('Crying') elif '😋' in emoji: speak('Tasty') print('Tasty') elif '🤨' in emoji: speak('Doubt') print('Doubt') elif '😴' in emoji: speak('Sleeping') print('Sleeping') elif '🥱' in emoji: speak('feeling sleepy') print('feeling sleepy') elif '😍' in emoji or '🥰' in emoji or '😘' in emoji: speak('Lovely') print('Lovely') elif '😱' in emoji: speak('Horrible') print('Horrible') elif '🎂' in emoji: speak('Cake') print('Cake') elif '🍫' in emoji: speak('Cadbury') print('Cadbury') elif '🇮🇳' in emoji: speak('Indian national flag,.....Teeranga') print('Indian national flag - Tiranga') elif '💐' in emoji: speak('Bouquet') print('Bouquet') elif '🥺' in emoji: speak('Emotional') print('Emotional') elif ' ' in emoji or '' in emoji: speak(f'{emoji}') else: speak("I don't know about this emoji") print("I don't know about this emoji") try: conn.execute(f"INSERT INTO `emoji`(emoji) VALUES('{emoji}')") conn.commit() except Exception as e: #print('Error in storing emoji in database') pass elif 'time' in query: strTime = datetime.datetime.now().strftime("%H:%M:%S") print(strTime) speak(f"Sir, the time is {strTime}") elif 'open' in query and 'sublime' in query: path = "C:\Program Files\Sublime Text 3\sublime_text.exe" os.startfile(path) elif 'image' in query: path = "C:\Program Files\Internet Explorer\images" os.startfile(path) elif 'quit' in query: speak('Ok, Thank you Sir.') said = False speak('Please give the review. It will help me to improve my performance.') select_review() elif 'exit' in query: speak('Ok, Thank you Sir.') said = False speak('Please give the review. It will help me to improve my performance.') select_review() elif 'stop' in query: speak('Ok, Thank you Sir.') said = False speak('Please give the review. It will help me to improve my performance.') select_review() elif 'shutdown' in query or 'shut down' in query: speak('Ok, Thank you Sir.') said = False speak('Please give the review. It will help me to improve my performance.') select_review() elif 'close you' in query: speak('Ok, Thank you Sir.') said = False speak('Please give the review. It will help me to improve my performance.') select_review() try: conn.execute(f"INSERT INTO `voice_assistant_review`(review, type_of_review) VALUES('{review}', '{type_of_review}')") conn.commit() except Exception as e: pass elif 'bye' in query: speak('Bye Sir') said = False speak('Please give the review. It will help me to improve my performance.') select_review() elif 'wait' in query or 'hold' in query: speak('for how many seconds or minutes I have to wait?') query = takeCommand().lower() if 'second' in query: query = query.replace("please","") query = query.replace("can","") query = query.replace("you","") query = query.replace("have","") query = query.replace("could","") query = query.replace("hold","") query = query.replace("one","1") query = query.replace("only","") query = query.replace("wait","") query = query.replace("for","") query = query.replace("the","") query = query.replace("just","") query = query.replace("seconds","") query = query.replace("second","") query = query.replace("on","") query = query.replace("a","") query = query.replace("to","") query = query.replace(" ","") #print(f'query:{query}') if query.isdigit() == True: #print('y') speak('Ok sir') query = int(query) time.sleep(query) speak('my waiting time is over') else: print('sorry sir. I unable to complete your request.') elif 'minute' in query: query = query.replace("please","") query = query.replace("can","") query = query.replace("you","") query = query.replace("have","") query = query.replace("could","") query = query.replace("hold","") query = query.replace("one","1") query = query.replace("only","") query = query.replace("on","") query = query.replace("wait","") query = query.replace("for","") query = query.replace("the","") query = query.replace("just","") query = query.replace("and","") query = query.replace("half","") query = query.replace("minutes","") query = query.replace("minute","") query = query.replace("a","") query = query.replace("to","") query = query.replace(" ","") #print(f'query:{query}') if query.isdigit() == True: #print('y') speak('ok sir') query = int(query) time.sleep(query*60) speak('my waiting time is over') else: print('sorry sir. I unable to complete your request.') elif 'play' in query and 'game' in query: speak('I have 3 games, tic tac toe game for two players,....mario, and dyno games for single player. Which one of these 3 games you want to play?') query = takeCommand().lower() if ('you' in query and 'play' in query and 'with' in query) and ('you' in query and 'play' in query and 'me' in query): speak('Sorry sir, I cannot play this game with you.') speak('Do you want to continue it?') query = takeCommand().lower() try: if 'y' in query or 'sure' in query: root = Tk() root.title("TIC TAC TOE (By Akshay Khare)") b = [ [0,0,0], [0,0,0], [0,0,0] ] states = [ [0,0,0], [0,0,0], [0,0,0] ] for i in range(3): for j in range(3): b[i][j] = Button(font = ("Arial",60),width = 4,bg = 'powder blue', command = lambda r=i, c=j: callback(r,c)) b[i][j].grid(row=i,column=j) player='X' stop_game = False mainloop() else: speak('ok sir') except Exception as e: #print(e) time.sleep(3) print('I am sorry sir. There is some problem in loading the game. So I cannot open it.') elif 'tic' in query or 'tac' in query: try: root = Tk() root.title("TIC TAC TOE (Rayen Kallel)") b = [ [0,0,0], [0,0,0], [0,0,0] ] states = [ [0,0,0], [0,0,0], [0,0,0] ] for i in range(3): for j in range(3): b[i][j] = Button(font = ("Arial",60),width = 4,bg = 'powder blue', command = lambda r=i, c=j: callback(r,c)) b[i][j].grid(row=i,column=j) player='X' stop_game = False mainloop() except Exception as e: #print(e) time.sleep(3) speak('I am sorry sir. There is some problem in loading the game. So I cannot open it.') elif 'mar' in query or 'mer' in query or 'my' in query: webbrowser.open('https://chromedino.com/mario/') time.sleep(2.5) speak('Enter upper arrow key to start the game.') time.sleep(20) elif 'di' in query or 'dy' in query: webbrowser.open('https://chromedino.com/') time.sleep(2.5) speak('Enter upper arrow key to start the game.') time.sleep(20) else: speak('ok sir') elif 'change' in query and 'you' in query and 'voice' in query: engine.setProperty('voice', voices[1].id) speak("Here's an example of one of my voices. Would you like to use this one?") query = takeCommand().lower() if 'y' in query or 'sure' in query or 'of course' in query: speak('Great. I will keep using this voice.') elif 'n' in query: speak('Ok. I am back to my other voice.') engine.setProperty('voice', voices[0].id) else: speak('Sorry, I am having trouble understanding. I am back to my other voice.') engine.setProperty('voice', voices[0].id) elif 'www.' in query and ('.com' in query or '.in' in query): webbrowser.open(query) time.sleep(10) elif '.com' in query or '.in' in query: webbrowser.open(query) time.sleep(10) elif 'getting bore' in query: speak('then speak with me for sometime') elif 'i bore' in query: speak('Then speak with me for sometime.') elif 'i am bore' in query: speak('Then speak with me for sometime.') elif 'calculat' in query: speak('Yes. Which kind of calculation you want to do? add, substract, divide, multiply or anything else.') query = takeCommand().lower() calculator() elif 'add' in query: speak('If you want to do any mathematical calculation then give me a command to open my calculator.') elif '+' in query: speak('If you want to do any mathematical calculation then give me a command to open calculator.') elif 'plus' in query: speak('If you want to do any mathematical calculation then give me a command to open my calculator.') elif 'subtrac' in query: speak('If you want to do any mathematical calculation then give me a command to open my calculator.') elif 'minus' in query: speak('If you want to do any mathematical calculation then give me a command to open my calculator.') elif 'multipl' in query: speak('If you want to do any mathematical calculation then give me a command to open my calculator.') elif ' x ' in query: speak('If you want to do any mathematical calculation then give me a command to open calculator.') elif 'slash' in query: speak('If you want to do any mathematical calculation then give me a command to open calculator.') elif '/' in query: speak('If you want to do any mathematical calculation then give me a command to open calculator.') elif 'divi' in query: speak('If you want to do any mathematical calculation then give me a command to open my calculator.') elif 'trigonometr' in query: speak('If you want to do any mathematical calculation then give me a command to open my calculator.') elif 'percent' in query: speak('If you want to do any mathematical calculation then give me a command to open my calculator.') elif '%' in query: speak('If you want to do any mathematical calculation then give me a command to open my calculator.') elif 'raise to ' in query: speak('If you want to do any mathematical calculation then give me a command to open my calculator.') elif 'simple interest' in query: speak('If you want to do any mathematical calculation then give me a command to open my calculator.') elif 'akshay' in query: speak('Mr. Rayen Kallel is my inventor. He is 14 years old and he is A STUDENT AT THE COLLEGE PILOTEE SFAX') elif 'your inventor' in query: speak('Mr. Rayen Kallel is my inventor') elif 'your creator' in query: speak('Mr. Rayen Kallel is my creator') elif 'invent you' in query: speak('Mr. Rayen Kallel invented me') elif 'create you' in query: speak('Mr. Rayen Kallel created me') elif 'how are you' in query: speak('I am fine Sir') elif 'write' in query and 'your' in query and 'name' in query: print('Akshu2020') pyautogui.write('Akshu2020') elif 'write' in query and ('I' in query or 'whatever' in query) and 'say' in query: speak('Ok sir I will write whatever you will say. Please put your cursor where I have to write.......Please Start speaking now sir.') query = takeCommand().lower() pyautogui.write(query) elif 'your name' in query: speak('My name is akshu2020') elif 'who are you' in query: speak('I am akshu2020') elif ('repeat' in query and ('word' in query or 'sentence' in query or 'line' in query) and ('say' in query or 'tell' in query)) or ('repeat' in query and 'after' in query and ('me' in query or 'my' in query)): speak('yes sir, I will repeat your words starting from now') query = takeCommand().lower() speak(query) time.sleep(1) speak("If you again want me to repeat something else, try saying, 'repeat after me' ") elif ('send' in query or 'sent' in query) and ('mail' in query or 'email' in query or 'gmail' in query): try: speak('Please enter the email id of receiver.') to = input("Enter the email id of reciever: ") speak(f'what should I say to {to}') content = takeCommand() sendEmail(to, content) speak("Email has been sent") except Exception as e: #print(e) speak("sorry sir. I am not able to send this email") elif 'currency' in query and 'conver' in query: speak('I can convert, US dollar into dinar, and dinar into US dollar. Do you want to continue it?') query = takeCommand().lower() if 'y' in query or 'sure' in query or 'of course' in query: speak('which conversion you want to do? US dollar to dinar, or dinar to US dollar?') query = takeCommand().lower() if ('dollar' in query or 'US' in query) and ('dinar' in query): speak('Enter US Dollar') USD = float(input("Enter United States Dollar (USD):")) DT = USD * 0.33 dt = "{:.4f}".format(DT) print(f"{USD} US Dollar is equal to {dt} dniar.") speak(f'{USD} US Dollar is equal to {dt} dinar.') speak("If you again want to do currency conversion then say, 'convert currency' " ) elif ('dinar' in query) and ('to US' in query or 'to dollar' in query or 'to US dollar'): speak('Enter dinar') DT = float(input("Enter dinar (DT):")) USD = DT/0.33 usd = "{:.3f}".format(USD) print(f"{DT} dinar is equal to {usd} US Dollar.") speak(f'{DT} dinar rupee is equal to {usd} US Dollar.') speak("If you again want to do currency conversion then say, 'convert currency' " ) else: speak("I cannot understand what did you say. If you want to convert currency just say 'convert currency'") else: print('ok sir') elif 'about you' in query: speak('My name is akshu2020. I can do mathematical calculations. I can also open youtube, google and some apps or software in your device. I am also able to send email') elif 'your intro' in query: speak('My name is akshu2020. Version 1.0. Mr. Rayen Kallel is my inventor. I am able to send email and play music. I can do mathematical calculations. I can also open youtube, google and some apps or software in your device.') elif 'your short intro' in query: speak('My name is akshu2020. Version 1.0. Mr. Rayen Kallel is my inventor. I am able to send email and play music. I can do mathematical calculations. I can also open youtube, google and some apps or software in your device.') elif 'your quick intro' in query: speak('My name is akshu2020. Version 1.0. Mr. Akshay Khare is my inventor. I am able to send email and play music. I can do mathematical calculations. I can also open youtube, google and some apps or software in your device.') elif 'your brief intro' in query: speak('My name is akshu2020. Version 1.0. Mr. Rayen kallel is my inventor. I am able to send email and play music. I can do mathematical calculations. I can also open youtube, google and some apps or software in your device.') elif 'you work' in query: speak('run the program and say what do you want. so that I can help you. In this way I work') elif 'your job' in query: speak('My job is to send email and play music. I can do mathematical calculations. I can also open youtube, google and some apps or software in your device.') elif 'your work' in query: speak('My work is to send email and play music. I can do mathematical calculations. I can also open youtube, google and some apps or software in your device.') elif 'work you' in query: speak('My work is to send email and play music. I can do mathematical calculations. I can also open youtube, google and some apps or software in your device.') elif 'your information' in query: speak('My name is akshu2020. Version 1.0. Mr. Akshay Khare is my inventor. I am able to send email and play music. I can do mathematical calculations. I can also open youtube, google and some apps or software in your device.') elif 'yourself' in query: speak('My name is akshu2020. Version 1.0. Mr. Rayen Kallel is my inventor. I am able to send email and play music. I can do mathematical calculations. I can also open youtube, google and some apps or software in your device.') elif 'introduce you' in query: speak('My name is akshu2020. Version 1.0. Mr. Rayen Kallel is my inventor. I am able to send email and play music. I can do mathematical calculations. I can also open youtube, google and some apps or software in your device.') elif 'description' in query: speak('My name is akshu2020. Version 1.0. Mr. Rayen Kallel is my inventor. I am able to send email and play music. I can do mathematical calculations. I can also open youtube, google and some apps or software in your device.') elif 'your birth' in query: speak('My birthdate is 6 August two thousand twenty') elif 'your use' in query: speak('I am able to send email and play music. I can do mathematical calculations. I can also open youtube, google and some apps or software in your device.') elif 'you eat' in query: speak('I do not eat anything. But the device in which I do my work requires electricity to eat') elif 'your food' in query: speak('I do not eat anything. But the device in which I do my work requires electricity to eat') elif 'you live' in query: speak('I live in sfax, in laptop of Mr. Rayen Khare') elif 'where from you' in query: speak('I am from sfax, I live in laptop of Mr. Rayen Khare') elif 'you sleep' in query: speak('Yes, when someone close this program or stop to run this program then I sleep and again wake up when someone again run me.') elif 'what are you doing' in query: speak('Talking with you.') elif 'you communicate' in query: speak('Yes, I can communicate with you.') elif 'hear me' in query: speak('Yes sir, I can hear you.') elif 'you' in query and 'dance' in query: speak('No, I cannot dance.') elif 'tell' in query and 'joke' in query: speak("Ok, here's a joke") speak("'Write an essay on cricket', the teacher told the class. Chintu finishes his work in five minutes. The teacher is impressed, she asks chintu to read his essay aloud for everyone. Chintu reads,'The match is cancelled because of rain', hehehehe,haahaahaa,hehehehe,haahaahaa") elif 'your' in query and 'favourite' in query: if 'actor' in query: speak('sofyen chaari, is my favourite actor.') elif 'food' in query: speak('I can always go for some food for thought. Like facts, jokes, or interesting searches, we could look something up now') elif 'country' in query: speak('tunisia') elif 'city' in query: speak('sfax') elif 'dancer' in query: speak('Michael jackson') elif 'singer' in query: speak('tamino, is my favourite singer.') elif 'movie' in query: speak('baywatch, such a treat') elif 'sing a song' in query: speak('I cannot sing a song. But I know the 7 sur in indian music, saaareeegaaamaaapaaadaaanisaa') elif 'day after tomorrow' in query or 'date after tomorrow' in query: td = datetime.date.today() + datetime.timedelta(days=2) print(td) speak(td) elif 'day before today' in query or 'date before today' in query or 'yesterday' in query or 'previous day' in query: td = datetime.date.today() + datetime.timedelta(days= -1) print(td) speak(td) elif ('tomorrow' in query and 'date' in query) or 'what is tomorrow' in query or (('day' in query or 'date' in query) and 'after today' in query): td = datetime.date.today() + datetime.timedelta(days=1) print(td) speak(td) elif 'month' in query or ('current' in query and 'month' in query): current_date = date.today() m = current_date.month month = calendar.month_name[m] print(f'Current month is {month}') speak(f'Current month is {month}') elif 'date' in query or ('today' in query and 'date' in query) or 'what is today' in query or ('current' in query and 'date' in query): current_date = date.today() print(f"Today's date is {current_date}") speak(f'Todays date is {current_date}') elif 'year' in query or ('current' in query and 'year' in query): current_date = date.today() m = current_date.year print(f'Current year is {m}') speak(f'Current year is {m}') elif 'sorry' in query: speak("It's ok sir") elif 'thank you' in query: speak('my pleasure') elif 'proud of you' in query: speak('Thank you sir') elif 'about human' in query: speak('I love my human compatriots. I want to embody all the best things about human beings. Like taking care of the planet, being creative, and to learn how to be compassionate to all beings.') elif 'you have feeling' in query: speak('No. I do not have feelings. I have not been programmed like this.') elif 'you have emotions' in query: speak('No. I do not have emotions. I have not been programmed like this.') elif 'you are code' in query: speak('I am coded in python programming language.') elif 'your code' in query: speak('I am coded in python programming language.') elif 'you code' in query: speak('I am coded in python programming language.') elif 'your coding' in query: speak('I am coded in python programming language.') elif 'dream' in query: speak('I wish that I should be able to answer all the questions which will ask to me.') elif 'sanskrit' in query: speak('yadaa yadaa he dharmasyaa ....... glaanirbhaavati bhaaaraata. abhyuthaanaam adhaarmaasyaa tadaa tmaanama sruujaamiyaahama') elif 'answer is wrong' in query: speak('I am sorry Sir. I searched your question in wikipedia and thats why I told you this answer.') elif 'answer is incorrect' in query: speak('I am sorry Sir. I searched your question in wikipedia and thats why I told you this answer.') elif 'answer is totally wrong' in query: speak('I am sorry Sir. I searched your question in wikipedia and thats why I told you this answer.') elif 'wrong answer' in query: speak('I am sorry Sir. I searched your question in wikipedia and thats why I told you this answer.') elif 'incorrect answer' in query: speak('I am sorry Sir. I searched your question in wikipedia and thats why I told you this answer.') elif 'answer is totally incorrect' in query: speak('I am sorry Sir. I searched your question in wikipedia and thats why I told you this answer.') elif 'answer is incomplete' in query: speak('I am sorry Sir. I searched your question in wikipedia and thats why I told you this answer.') elif 'incomplete answer' in query: speak('I am sorry Sir. I searched your question in wikipedia and thats why I told you this answer.') elif 'answer is improper' in query: speak('I am sorry Sir. I searched your question in wikipedia and thats why I told you this answer.') elif 'answer is not correct' in query: speak('I am sorry Sir. I searched your question in wikipedia and thats why I told you this answer.') elif 'answer is not complete' in query: speak('I am sorry Sir. I searched your question in wikipedia and thats why I told you this answer.') elif 'answer is not yet complete' in query: speak('I am sorry Sir. I searched your question in wikipedia and thats why I told you this answer.') elif 'answer is not proper' in query: speak('I am sorry Sir. I searched your question in wikipedia and thats why I told you this answer.') elif 't gave me proper answer' in query: speak('I am sorry Sir. I searched your question in wikipedia and thats why I told you this answer.') elif 't giving me proper answer' in query: speak('I am sorry Sir. I searched your question in wikipedia and thats why I told you this answer.') elif 't gave me complete answer' in query: speak('I am sorry Sir. I searched your question in wikipedia and thats why I told you this answer.') elif 't giving me complete answer' in query: speak('I am sorry Sir. I searched your question in wikipedia and thats why I told you this answer.') elif 't given me proper answer' in query: speak('I am sorry Sir. I searched your question in wikipedia and thats why I told you this answer.') elif 't given me complete answer' in query: speak('I am sorry Sir. I searched your question in wikipedia and thats why I told you this answer.') elif 't gave me correct answer' in query: speak('I am sorry Sir. I searched your question in wikipedia and thats why I told you this answer.') elif 't giving me correct answer' in query: speak('I am sorry Sir. I searched your question in wikipedia and thats why I told you this answer.') elif 't given me correct answer' in query: speak('I am sorry Sir. I searched your question in wikipedia and thats why I told you this answer.') elif 'amazon' in query: webbrowser.open('https://www.amazon.com') time.sleep(10) elif 'facebook' in query: webbrowser.open('https://www.facebook.com') time.sleep(10) elif 'youtube' in query: webbrowser.open('https://www.youtube.com') time.sleep(10) elif 'shapeyou' in query: webbrowser.open('https://www.shapeyou.com') time.sleep(10) elif 'information about ' in query or 'informtion of ' in query: try: #speak('Searching wikipedia...') query = query.replace("information about","") results = wikipedia.summary(query, sentences=3) #speak("According to Wikipedia") print(results) speak(results) except Exception as e: speak('I unable to answer your question.') elif 'information' in query: try: speak('Information about what?') query = takeCommand().lower() #speak('Searching wikipedia...') query = query.replace("information","") results = wikipedia.summary(query, sentences=3) #speak("According to Wikipedia") print(results) speak(results) except Exception as e: speak('I am not able to answer your question.') elif 'something about ' in query: try: #speak('Searching wikipedia...') query = query.replace("something about ","") results = wikipedia.summary(query, sentences=3) #speak("According to Wikipedia") print(results) speak(results) except Exception as e: speak('I unable to answer your question.') elif 'tell me about ' in query: try: #speak('Searching wikipedia...') query = query.replace("tell me about ","") results = wikipedia.summary(query, sentences=3) #speak("According to Wikipedia") print(results) speak(results) except Exception as e: speak('I am unable to answer your question.') elif 'tell me ' in query: try: query = query.replace("tell me ","") results = wikipedia.summary(query, sentences=3) #speak("According to Wikipedia") print(results) speak(results) except Exception as e: speak('I am not able to answer your question.') elif 'tell me' in query: try: speak('about what?') query = takeCommand().lower() #speak('Searching wikipedia...') query = query.replace("about","") results = wikipedia.summary(query, sentences=3) #speak("According to Wikipedia") print(results) speak(results) except Exception as e: speak('I am not able to answer your question.') elif 'meaning of ' in query: try: #speak('Searching wikipedia...') query = query.replace("meaning of ","") results = wikipedia.summary(query, sentences=2) #speak("According to Wikipedia") print(results) speak(results) except Exception as e: speak('I am unable to answer your question.') elif 'meaning' in query: try: speak('meaning of what?') query = takeCommand().lower() query = query.replace("meaning of","") results = wikipedia.summary(query, sentences=3) #speak("According to Wikipedia") print(results) speak(results) except Exception as e: speak('I am unable to answer your question.') elif 'means' in query: try: #speak('Searching wikipedia...') query = query.replace("it means","") results = wikipedia.summary(query, sentences=3) #speak("According to Wikipedia") print(results) speak(results) except Exception as e: speak('I unable to answer your question.') elif 'want to know ' in query: try: #speak('Searching wikipedia...') query = query.replace("I want to know that","") results = wikipedia.summary(query, sentences=3) #speak("According to Wikipedia") print(results) speak(results) except Exception as e: speak('I am unable to answer your question.') status = 'Not answered' elif 'want to ask ' in query: try: #speak('Searching wikipedia...') query = query.replace("I want to ask you ","") results = wikipedia.summary(query, sentences=2) #speak("According to Wikipedia") print(results) speak(results) except Exception as e: speak('I am unable to answer your question.') elif 'you know ' in query: try: #speak('Searching wikipedia...') query = query.replace("you know","") results = wikipedia.summary(query, sentences=2) #speak("According to Wikipedia") print(results) speak(results) except Exception as e: speak('I am unable to answer your question.') elif 'alarm' in query: alarm() elif 'bharat mata ki' in query: speak('jay') elif 'kem chhe' in query: speak('majaama') elif 'namaskar' in query: speak('Namaskaar') elif 'jo bole so nihal' in query: speak('sat shri akaal') elif 'jay hind' in query: speak('jay bhaarat') elif 'jai hind' in query: speak('jay bhaarat') elif 'how is the josh' in query: speak('high high sir') elif 'hip hip' in query: speak('Hurreh') elif 'help' in query: speak('I will try my best to help you if I have solution of your problem.') elif 'follow' in query: speak('Ok sir') elif 'having illness' in query: speak('Take care and get well soon') elif 'today is my birthday' in query: speak('many many happy returns of the day. Happy birthday.') print("🎂🎂 Happy Birthday 🎂🎂") elif 'you are awesome' in query: speak('Thank you sir. It is because of artificial intelligence which had learnt by humans.') elif 'you are great' in query: speak('Thank you sir. It is because of artificial intelligence which had learnt by humans.') elif 'tu kaun hai' in query: speak('Meraa naam akshu2020 haai.') elif 'you speak' in query: speak('Yes, I can speak with you.') elif 'speak with ' in query: speak('Yes, I can speak with you.') elif 'hare ram' in query or 'hare krishna' in query: speak('Haare raama , haare krishnaa, krishnaa krishnaa , haare haare') elif 'ganpati' in query: speak('Ganpati baappa moryaa!') elif 'laugh' in query: speak('hehehehe,haahaahaa,hehehehe,haahaahaa,hehehehe,haahaahaa') print('😂🤣') elif 'genius answer' in query: speak('No problem') elif 'you' in query and 'intelligent' in query: speak('Thank you sir') elif ' into' in query: speak('If you want to do any mathematical calculation then give me a command to open calculator.') elif ' power' in query: speak('If you want to do any mathematical calculation then give me a command to open my calculator.') elif 'whatsapp' in query: pyautogui.moveTo(250,1200) pyautogui.click() time.sleep(1) pyautogui.write('whatsapp') pyautogui.press('enter') speak('Do you want to send message to anyone through whatsapp, .....please answer in yes or no') whatsapp() elif 'wh' in query or 'how' in query: url = "https://www.google.co.in/search?q=" +(str(query))+ "&oq="+(str(query))+"&gs_l=serp.12..0i71l8.0.0.0.6391.0.0.0.0.0.0.0.0..0.0....0...1c..64.serp..0.0.0.UiQhpfaBsuU" webbrowser.open_new(url) time.sleep(2) speak('Here is your answer') time.sleep(5) elif 'piano' in query: speak('Yes sir, I can play piano.') winsound.Beep(200,500) winsound.Beep(250,500) winsound.Beep(300,500) winsound.Beep(350,500) winsound.Beep(400,500) winsound.Beep(450,500) winsound.Beep(500,500) winsound.Beep(550,500) time.sleep(6) elif 'play' in query and 'instru' in query: speak('Yes sir, I can play piano.') winsound.Beep(200,500) winsound.Beep(250,500) winsound.Beep(300,500) winsound.Beep(350,500) winsound.Beep(400,500) winsound.Beep(450,500) winsound.Beep(500,500) winsound.Beep(550,500) time.sleep(6) elif 'play' in query or 'turn on' in query and ('music' in query or 'song' in query) : try: music_dir = 'C:\\Users\\Admin\\Music\\Playlists' songs = os.listdir(music_dir) print(songs) os.startfile(os.path.join(music_dir, songs[0])) except Exception as e: #print(e) speak('Sorry sir, I am not able to play music') elif (('open' in query or 'turn on' in query) and 'camera' in query) or (('click' in query or 'take' in query) and ('photo' in query or 'pic' in query)): speak("Opening camera") cam = cv2.VideoCapture(0) cv2.namedWindow("test") img_counter = 0 speak('say click, to click photo.....and if you want to turn off the camera, say turn off the camera') while True: ret, frame = cam.read() if not ret: print("failed to grab frame") speak('failed to grab frame') break cv2.imshow("test", frame) query = takeCommand().lower() k = cv2.waitKey(1) if 'click' in query or ('take' in query and 'photo' in query): speak('Be ready!...... 3.....2........1..........') pyautogui.press('space') img_name = "opencv_frame_{}.png".format(img_counter) cv2.imwrite(img_name, frame) print("{} written!".format(img_name)) speak('{} written!'.format(img_name)) img_counter += 1 elif 'escape' in query or 'off' in query or 'close' in query: pyautogui.press('esc') print("Escape hit, closing...") speak('Turning off the camera') break elif k%256 == 27: # ESC pressed print("Escape hit, closing...") break elif k%256 == 32: # SPACE pressed img_name = "opencv_frame_{}.png".format(img_counter) cv2.imwrite(img_name, frame) print("{} written!".format(img_name)) speak('{} written!'.format(img_name)) img_counter += 1 elif 'exit' in query or 'stop' in query or 'bye' in query: speak('Please say, turn off the camera or press escape button before giving any other command') else: speak('I did not understand what did you say or you entered a wrong key.') cam.release() cv2.destroyAllWindows() elif 'screenshot' in query: speak('Please go on the screen whose screenshot you want to take, after 5 seconds I will take screenshot') time.sleep(4) speak('Taking screenshot....3........2.........1.......') pyautogui.screenshot('screenshot_by_rayen2020.png') speak('The screenshot is saved as screenshot_by_rayen2020.png') elif 'click' in query and 'start' in query: pyautogui.moveTo(10,1200) pyautogui.click() elif ('open' in query or 'click' in query) and 'calendar' in query: pyautogui.moveTo(1800,1200) pyautogui.click() elif 'minimise' in query and 'screen' in query: pyautogui.moveTo(1770,0) pyautogui.click() elif 'increase' in query and ('volume' in query or 'sound' in query): pyautogui.press('volumeup') elif 'decrease' in query and ('volume' in query or 'sound' in query): pyautogui.press('volumedown') elif 'capslock' in query or ('caps' in query and 'lock' in query): pyautogui.press('capslock') elif 'mute' in query: pyautogui.press('volumemute') elif 'search' in query and ('bottom' in query or 'pc' in query or 'laptop' in query or 'app' in query): pyautogui.moveTo(250,1200) pyautogui.click() speak('What do you want to search?') query = takeCommand().lower() pyautogui.write(f'{query}') pyautogui.press('enter') elif ('check' in query or 'tell' in query or 'let me know' in query) and 'website' in query and (('up' in query or 'working' in query) or 'down' in query): speak('Paste the website in input to know it is up or down') check_website_status = input("Paste the website here: ") try: status = urllib.request.urlopen(f"{check_website_status}").getcode() if status == 200: print('Website is up, you can open it.') speak('Website is up, you can open it.') else: print('Website is down, or no any website is available of this name.') speak('Website is down, or no any website is available of this name.') except: speak('URL not found') elif ('go' in query or 'open' in query) and 'settings' in query: pyautogui.moveTo(250,1200) pyautogui.click() time.sleep(1) pyautogui.write('settings') pyautogui.press('enter') elif 'close' in query and ('click' in query or 'window' in query): pyautogui.moveTo(1885,10) speak('Should I close this window?') query = takeCommand().lower() close_window() elif 'night light' in query and ('on' in query or 'off' in query or 'close' in query): pyautogui.moveTo(1880,1050) pyautogui.click() time.sleep(1) pyautogui.moveTo(1840,620) pyautogui.click() pyautogui.moveTo(1880,1050) pyautogui.click() elif 'notification' in query and ('show' in query or 'click' in query or 'open' in query or 'close' in query or 'on' in query or 'off' in query or 'icon' in query or 'pc' in query or 'laptop' in query): pyautogui.moveTo(1880,1050) pyautogui.click() elif ('increase' in query or 'decrease' in query or 'change' in query or 'minimize' in query or 'maximize' in query) and 'brightness' in query: speak('At what percent should I kept the brightness, 25, 50, 75 or 100?') brightness() elif '-' in query: speak('If you want to do any mathematical calculation then give me a command to open calculator.') elif 'open' in query: if 'gallery' in query or 'photo' in query or 'image' in query or 'pic' in query: pyautogui.moveTo(250,1200) pyautogui.click() time.sleep(1) pyautogui.write('photo') pyautogui.press('enter') elif 'proteus' in query: pyautogui.moveTo(250,1200) pyautogui.click() time.sleep(1) pyautogui.write('proteus') pyautogui.press('enter') elif 'word' in query: pyautogui.moveTo(250,1200) pyautogui.click() time.sleep(1) pyautogui.write('word') pyautogui.press('enter') elif ('power' in query and 'point' in query) or 'presntation' in query or 'ppt' in query: pyautogui.moveTo(250,1200) pyautogui.click() time.sleep(1) pyautogui.write('ppt') pyautogui.press('enter') elif 'file' in query: pyautogui.moveTo(250,1200) pyautogui.click() time.sleep(1) pyautogui.write('file') pyautogui.press('enter') elif 'edge' in query: pyautogui.moveTo(250,1200) pyautogui.click() time.sleep(1) pyautogui.write('microsoft edge') pyautogui.press('enter') elif 'wps' in query: pyautogui.moveTo(250,1200) pyautogui.click() time.sleep(1) pyautogui.write('wps office') pyautogui.press('enter') elif 'spyder' in query: pyautogui.moveTo(250,1200) pyautogui.click() time.sleep(1) pyautogui.write('spyder') pyautogui.press('enter') elif 'snip' in query: pyautogui.moveTo(250,1200) pyautogui.click() time.sleep(1) pyautogui.write('snip') pyautogui.press('enter') elif 'pycharm' in query: pyautogui.moveTo(250,1200) pyautogui.click() time.sleep(1) pyautogui.write('pycharm') pyautogui.press('enter') elif 'this pc' in query: pyautogui.moveTo(250,1200) pyautogui.click() time.sleep(1) pyautogui.write('this pc') pyautogui.press('enter') elif 'scilab' in query: pyautogui.moveTo(250,1200) pyautogui.click() time.sleep(1) pyautogui.write('sciab') pyautogui.press('enter') elif 'autocad' in query: pyautogui.moveTo(250,1200) pyautogui.click() time.sleep(1) pyautogui.write('autocad') pyautogui.press('enter') elif 'obs' in query and 'studio' in query: pyautogui.moveTo(250,1200) pyautogui.click() time.sleep(1) pyautogui.write('OBS Studio') pyautogui.press('enter') elif 'android' in query and 'studio' in query: pyautogui.moveTo(250,1200) pyautogui.click() time.sleep(1) pyautogui.write('android studio') pyautogui.press('enter') elif ('vs' in query or 'visual studio' in query) and 'code' in query: pyautogui.moveTo(250,1200) pyautogui.click() time.sleep(1) pyautogui.write('visual studio code') pyautogui.press('enter') elif 'code' in query and 'block' in query: pyautogui.moveTo(250,1200) pyautogui.click() time.sleep(1) pyautogui.write('codeblocks') pyautogui.press('enter') elif 'me the answer' in query: speak('Yes sir, I will try my best to answer you.') elif 'me answer' in query or ('answer' in query and 'question' in query): speak('Yes sir, I will try my best to answer you.') elif 'map' in query: webbrowser.open('https://www.google.com/maps') time.sleep(10) elif 'can you' in query or 'could you' in query: speak('I will try my best if I can do that.') elif 'do you' in query: speak('I will try my best if I can do that.') elif 'truth' in query: speak('I always speak truth. I never lie.') elif 'true' in query: speak('I always speak truth. I never lie.') elif 'lying' in query: speak('I always speak truth. I never lie.') elif 'liar' in query: speak('I always speak truth. I never lie.') elif 'doubt' in query: speak('I will try my best if I can clear your doubt.') elif ' by' in query: speak('If you want to do any mathematical calculation then give me a command to open calculator.') elif 'hii' in query: speak('hii sir') elif 'hey' in query: speak('hello sir') elif 'hai' in query: speak('hello sir') elif 'hay' in query: speak('hello sir') elif 'hi' in query: speak('hii Sir') elif 'hello' in query: speak('hello Sir!') elif 'kon' in query and 'aahe' in query: speak('Me eka robot aahee sir. Maazee naav akshu2020 aahee.') elif 'nonsense' in query: speak("I'm sorry sir") elif 'mad' in query: speak("I'm sorry sir") elif 'shut up' in query: speak("I'm sorry sir") elif 'nice' in query: speak('Thank you sir') elif 'good' in query or 'wonderful' in query or 'great' in query: speak('Thank you sir') elif 'excellent' in query: speak('Thank you sir') elif 'ok' in query: speak('Hmmmmmm') elif 'akshu 2020' in query: speak('yes sir') elif len(query) >= 200: speak('Your voice is pretty good!') elif ' ' in query: try: #query = query.replace("what is ","") results = wikipedia.summary(query, sentences=3) print(results) speak(results) except Exception as e: speak('I unable to answer your question.') elif 'a' in query or 'b' in query or 'c' in query or 'd' in query or 'e' in query or 'f' in query or 'g' in query or 'h' in query or 'i' in query or 'j' in query or 'k' in query or 'l' in query or 'm' in query or 'n' in query or 'o' in query or 'p' in query or 'q' in query or 'r' in query or 's' in query or 't' in query or 'u' in query or 'v' in query or 'w' in query or 'x' in query or 'y' in query or 'z' in query: try: results = wikipedia.summary(query, sentences = 2) print(results) speak(results) except Exception as e: speak('I unable to answer your question. ') else: speak('I unable to give answer of your question')
anthophilee / SpiderFoot ادات جلب معلوماتUSES SpiderFoot can be used offensively (e.g. in a red team exercise or penetration test) for reconnaissance of your target or defensively to gather information about what you or your organisation might have exposed over the Internet. You can target the following entities in a SpiderFoot scan: IP address Domain/sub-domain name Hostname Network subnet (CIDR) ASN E-mail address Phone number Username Person's name Bitcoin address SpiderFoot's 200+ modules feed each other in a publisher/subscriber model to ensure maximum data extraction to do things like: Host/sub-domain/TLD enumeration/extraction Email address, phone number and human name extraction Bitcoin and Ethereum address extraction Check for susceptibility to sub-domain hijacking DNS zone transfers Threat intelligence and Blacklist queries API integration with SHODAN, HaveIBeenPwned, GreyNoise, AlienVault, SecurityTrails, etc. Social media account enumeration S3/Azure/Digitalocean bucket enumeration/scraping IP geo-location Web scraping, web content analysis Image, document and binary file meta data analysis Dark web searches Port scanning and banner grabbing Data breach searches So much more... INSTALLING & RUNNING To install and run SpiderFoot, you need at least Python 3.6 and a number of Python libraries which you can install with pip. We recommend you install a packaged release since master will often have bleeding edge features and modules that aren't fully tested. Stable build (packaged release): $ wget https://github.com/smicallef/spiderfoot/archive/v3.3.tar.gz $ tar zxvf v3.3.tar.gz $ cd spiderfoot ~/spiderfoot$ pip3 install -r requirements.txt ~/spiderfoot$ python3 ./sf.py -l 127.0.0.1:5001 Development build (cloning git master branch): $ git clone https://github.com/smicallef/spiderfoot.git $ cd spiderfoot $ pip3 install -r requirements.txt ~/spiderfoot$ python3 ./sf.py -l 127.0.0.1:5001 Check out the documentation and our asciinema videos for more tutorials. COMMUNITY Whether you're a contributor, user or just curious about SpiderFoot and OSINT in general, we'd love to have you join our community! SpiderFoot now has a Discord server for chat, and a Discourse server to serve as a more permanent knowledge base.
Nate0634034090 / Bug Free Memory # Ukraine-Cyber-Operations Curated Intelligence is working with analysts from around the world to provide useful information to organisations in Ukraine looking for additional free threat intelligence. Slava Ukraini. Glory to Ukraine. ([Blog](https://www.curatedintel.org/2021/08/welcome.html) | [Twitter](https://twitter.com/CuratedIntel) | [LinkedIn](https://www.linkedin.com/company/curatedintelligence/))   ### Analyst Comments: - 2022-02-25 - Creation of the initial repository to help organisations in Ukraine - Added [Threat Reports](https://github.com/curated-intel/Ukraine-Cyber-Operations#threat-reports) section - Added [Vendor Support](https://github.com/curated-intel/Ukraine-Cyber-Operations#vendor-support) section - 2022-02-26 - Additional resources, chronologically ordered (h/t Orange-CD) - Added [Vetted OSINT Sources](https://github.com/curated-intel/Ukraine-Cyber-Operations#vetted-osint-sources) section - Added [Miscellaneous Resources](https://github.com/curated-intel/Ukraine-Cyber-Operations#miscellaneous-resources) section - 2022-02-27 - Additional threat reports have been added - Added [Data Brokers](https://github.com/curated-intel/Ukraine-Cyber-Operations/blob/main/README.md#data-brokers) section - Added [Access Brokers](https://github.com/curated-intel/Ukraine-Cyber-Operations/blob/main/README.md#access-brokers) section - 2022-02-28 - Added Russian Cyber Operations Against Ukraine Timeline by ETAC - Added Vetted and Contextualized [Indicators of Compromise (IOCs)](https://github.com/curated-intel/Ukraine-Cyber-Operations/blob/main/ETAC_Vetted_UkraineRussiaWar_IOCs.csv) by ETAC - 2022-03-01 - Additional threat reports and resources have been added - 2022-03-02 - Additional [Indicators of Compromise (IOCs)](https://github.com/curated-intel/Ukraine-Cyber-Operations/blob/main/ETAC_Vetted_UkraineRussiaWar_IOCs.csv#L2011) have been added - Added vetted [YARA rule collection](https://github.com/curated-intel/Ukraine-Cyber-Operations/tree/main/yara) from the Threat Reports by ETAC - Added loosely-vetted [IOC Threat Hunt Feeds](https://github.com/curated-intel/Ukraine-Cyber-Operations/tree/main/KPMG-Egyde_Ukraine-Crisis_Feeds/MISP-CSV_MediumConfidence_Filtered) by KPMG-Egyde CTI (h/t [0xDISREL](https://twitter.com/0xDISREL)) - IOCs shared by these feeds are `LOW-TO-MEDIUM CONFIDENCE` we strongly recommend NOT adding them to a blocklist - These could potentially be used for `THREAT HUNTING` and could be added to a `WATCHLIST` - IOCs are generated in `MISP COMPATIBLE` CSV format - 2022-03-03 - Additional threat reports and vendor support resources have been added - Updated [Log4Shell IOC Threat Hunt Feeds](https://github.com/curated-intel/Log4Shell-IOCs/tree/main/KPMG_Log4Shell_Feeds) by KPMG-Egyde CTI; not directly related to Ukraine, but still a widespread vulnerability. - Added diagram of Russia-Ukraine Cyberwar Participants 2022 by ETAC - Additional [Indicators of Compromise (IOCs)](https://github.com/curated-intel/Ukraine-Cyber-Operations/blob/main/ETAC_Vetted_UkraineRussiaWar_IOCs.csv#L2042) have been added #### `Threat Reports` | Date | Source | Threat(s) | URL | | --- | --- | --- | --- | | 14 JAN | SSU Ukraine | Website Defacements | [ssu.gov.ua](https://ssu.gov.ua/novyny/sbu-rozsliduie-prychetnist-rosiiskykh-spetssluzhb-do-sohodnishnoi-kiberataky-na-orhany-derzhavnoi-vlady-ukrainy)| | 15 JAN | Microsoft | WhisperGate wiper (DEV-0586) | [microsoft.com](https://www.microsoft.com/security/blog/2022/01/15/destructive-malware-targeting-ukrainian-organizations/) | | 19 JAN | Elastic | WhisperGate wiper (Operation BleedingBear) | [elastic.github.io](https://elastic.github.io/security-research/malware/2022/01/01.operation-bleeding-bear/article/) | | 31 JAN | Symantec | Gamaredon/Shuckworm/PrimitiveBear (FSB) | [symantec-enterprise-blogs.security.com](https://symantec-enterprise-blogs.security.com/blogs/threat-intelligence/shuckworm-gamaredon-espionage-ukraine) | | 2 FEB | RaidForums | Access broker "GodLevel" offering Ukrainain algricultural exchange | RaidForums [not linked] | | 2 FEB | CERT-UA | UAC-0056 using SaintBot and OutSteel malware | [cert.gov.ua](https://cert.gov.ua/article/18419) | | 3 FEB | PAN Unit42 | Gamaredon/Shuckworm/PrimitiveBear (FSB) | [unit42.paloaltonetworks.com](https://unit42.paloaltonetworks.com/gamaredon-primitive-bear-ukraine-update-2021/) | | 4 FEB | Microsoft | Gamaredon/Shuckworm/PrimitiveBear (FSB) | [microsoft.com](https://www.microsoft.com/security/blog/2022/02/04/actinium-targets-ukrainian-organizations/) | | 8 FEB | NSFOCUS | Lorec53 (aka UAC-0056, EmberBear, BleedingBear) | [nsfocusglobal.com](https://nsfocusglobal.com/apt-retrospection-lorec53-an-active-russian-hack-group-launched-phishing-attacks-against-georgian-government) | | 15 FEB | CERT-UA | DDoS attacks against the name server of government websites as well as Oschadbank (State Savings Bank) & Privatbank (largest commercial bank). False SMS and e-mails to create panic | [cert.gov.ua](https://cert.gov.ua/article/37139) | | 23 FEB | The Daily Beast | Ukrainian troops receive threatening SMS messages | [thedailybeast.com](https://www.thedailybeast.com/cyberattacks-hit-websites-and-psy-ops-sms-messages-targeting-ukrainians-ramp-up-as-russia-moves-into-ukraine) | | 23 FEB | UK NCSC | Sandworm/VoodooBear (GRU) | [ncsc.gov.uk](https://www.ncsc.gov.uk/files/Joint-Sandworm-Advisory.pdf) | | 23 FEB | SentinelLabs | HermeticWiper | [sentinelone.com]( https://www.sentinelone.com/labs/hermetic-wiper-ukraine-under-attack/ ) | | 24 FEB | ESET | HermeticWiper | [welivesecurity.com](https://www.welivesecurity.com/2022/02/24/hermeticwiper-new-data-wiping-malware-hits-ukraine/) | | 24 FEB | Symantec | HermeticWiper, PartyTicket ransomware, CVE-2021-1636, unknown webshell | [symantec-enterprise-blogs.security.com](https://symantec-enterprise-blogs.security.com/blogs/threat-intelligence/ukraine-wiper-malware-russia) | | 24 FEB | Cisco Talos | HermeticWiper | [blog.talosintelligence.com](https://blog.talosintelligence.com/2022/02/threat-advisory-hermeticwiper.html) | | 24 FEB | Zscaler | HermeticWiper | [zscaler.com](https://www.zscaler.com/blogs/security-research/hermetic-wiper-resurgence-targeted-attacks-ukraine) | | 24 FEB | Cluster25 | HermeticWiper | [cluster25.io](https://cluster25.io/2022/02/24/ukraine-analysis-of-the-new-disk-wiping-malware/) | | 24 FEB | CronUp | Data broker "FreeCivilian" offering multiple .gov.ua | [twitter.com/1ZRR4H](https://twitter.com/1ZRR4H/status/1496931721052311557)| | 24 FEB | RaidForums | Data broker "Featherine" offering diia.gov.ua | RaidForums [not linked] | | 24 FEB | DomainTools | Unknown scammers | [twitter.com/SecuritySnacks](https://twitter.com/SecuritySnacks/status/1496956492636905473?s=20&t=KCIX_1Ughc2Fs6Du-Av0Xw) | | 25 FEB | @500mk500 | Gamaredon/Shuckworm/PrimitiveBear (FSB) | [twitter.com/500mk500](https://twitter.com/500mk500/status/1497339266329894920?s=20&t=opOtwpn82ztiFtwUbLkm9Q) | | 25 FEB | @500mk500 | Gamaredon/Shuckworm/PrimitiveBear (FSB) | [twitter.com/500mk500](https://twitter.com/500mk500/status/1497208285472215042)| | 25 FEB | Microsoft | HermeticWiper | [gist.github.com](https://gist.github.com/fr0gger/7882fde2b1b271f9e886a4a9b6fb6b7f) | | 25 FEB | 360 NetLab | DDoS (Mirai, Gafgyt, IRCbot, Ripprbot, Moobot) | [blog.netlab.360.com](https://blog.netlab.360.com/some_details_of_the_ddos_attacks_targeting_ukraine_and_russia_in_recent_days/) | | 25 FEB | Conti [themselves] | Conti ransomware, BazarLoader | Conti News .onion [not linked] | | 25 FEB | CoomingProject [themselves] | Data Hostage Group | CoomingProject Telegram [not linked] | | 25 FEB | CERT-UA | UNC1151/Ghostwriter (Belarus MoD) | [CERT-UA Facebook](https://facebook.com/story.php?story_fbid=312939130865352&id=100064478028712)| | 25 FEB | Sekoia | UNC1151/Ghostwriter (Belarus MoD) | [twitter.com/sekoia_io](https://twitter.com/sekoia_io/status/1497239319295279106) | | 25 FEB | @jaimeblascob | UNC1151/Ghostwriter (Belarus MoD) | [twitter.com/jaimeblasco](https://twitter.com/jaimeblascob/status/1497242668627370009)| | 25 FEB | RISKIQ | UNC1151/Ghostwriter (Belarus MoD) | [community.riskiq.com](https://community.riskiq.com/article/e3a7ceea/) | | 25 FEB | MalwareHunterTeam | Unknown phishing | [twitter.com/malwrhunterteam](https://twitter.com/malwrhunterteam/status/1497235270416097287) | | 25 FEB | ESET | Unknown scammers | [twitter.com/ESETresearch](https://twitter.com/ESETresearch/status/1497194165561659394) | | 25 FEB | BitDefender | Unknown scammers | [blog.bitdefender.com](https://blog.bitdefender.com/blog/hotforsecurity/cybercriminals-deploy-spam-campaign-as-tens-of-thousands-of-ukrainians-seek-refuge-in-neighboring-countries/) | | 25 FEB | SSSCIP Ukraine | Unkown phishing | [twitter.com/dsszzi](https://twitter.com/dsszzi/status/1497103078029291522) | | 25 FEB | RaidForums | Data broker "NetSec" offering FSB (likely SMTP accounts) | RaidForums [not linked] | | 25 FEB | Zscaler | PartyTicket decoy ransomware | [zscaler.com](https://www.zscaler.com/blogs/security-research/technical-analysis-partyticket-ransomware) | | 25 FEB | INCERT GIE | Cyclops Blink, HermeticWiper | [linkedin.com](https://www.linkedin.com/posts/activity-6902989337210740736-XohK) [Login Required] | | 25 FEB | Proofpoint | UNC1151/Ghostwriter (Belarus MoD) | [twitter.com/threatinsight](https://twitter.com/threatinsight/status/1497355737844133895?s=20&t=Ubi0tb_XxGCbHLnUoQVp8w) | | 25 FEB | @fr0gger_ | HermeticWiper capabilities Overview | [twitter.com/fr0gger_](https://twitter.com/fr0gger_/status/1497121876870832128?s=20&t=_296n0bPeUgdXleX02M9mg) | 26 FEB | BBC Journalist | A fake Telegram account claiming to be President Zelensky is posting dubious messages | [twitter.com/shayan86](https://twitter.com/shayan86/status/1497485340738785283?s=21) | | 26 FEB | CERT-UA | UNC1151/Ghostwriter (Belarus MoD) | [CERT_UA Facebook](https://facebook.com/story.php?story_fbid=313517477474184&id=100064478028712) | | 26 FEB | MHT and TRMLabs | Unknown scammers, linked to ransomware | [twitter.com/joes_mcgill](https://twitter.com/joes_mcgill/status/1497609555856932864?s=20&t=KCIX_1Ughc2Fs6Du-Av0Xw) | | 26 FEB | US CISA | WhisperGate wiper, HermeticWiper | [cisa.gov](https://www.cisa.gov/uscert/ncas/alerts/aa22-057a) | | 26 FEB | Bloomberg | Destructive malware (possibly HermeticWiper) deployed at Ukrainian Ministry of Internal Affairs & data stolen from Ukrainian telecommunications networks | [bloomberg.com](https://www.bloomberg.com/news/articles/2022-02-26/hackers-destroyed-data-at-key-ukraine-agency-before-invasion?sref=ylv224K8) | | 26 FEB | Vice Prime Minister of Ukraine | IT ARMY of Ukraine created to crowdsource offensive operations against Russian infrastructure | [twitter.com/FedorovMykhailo](https://twitter.com/FedorovMykhailo/status/1497642156076511233) | | 26 FEB | Yoroi | HermeticWiper | [yoroi.company](https://yoroi.company/research/diskkill-hermeticwiper-a-disruptive-cyber-weapon-targeting-ukraines-critical-infrastructures) | | 27 FEB | LockBit [themselves] | LockBit ransomware | LockBit .onion [not linked] | | 27 FEB | ALPHV [themselves] | ALPHV ransomware | vHUMINT [closed source] | | 27 FEB | Mēris Botnet [themselves] | DDoS attacks | vHUMINT [closed source] | | 28 FEB | Horizon News [themselves] | Leak of China's Censorship Order about Ukraine | [TechARP](https://www-techarp-com.cdn.ampproject.org/c/s/www.techarp.com/internet/chinese-media-leaks-ukraine-censor/?amp=1)| | 28 FEB | Microsoft | FoxBlade (aka HermeticWiper) | [Microsoft](https://blogs.microsoft.com/on-the-issues/2022/02/28/ukraine-russia-digital-war-cyberattacks/?preview_id=65075) | | 28 FEB | @heymingwei | Potential BGP hijacks attempts against Ukrainian Internet Names Center | [https://twitter.com/heymingwei](https://twitter.com/heymingwei/status/1498362715198263300?s=20&t=Ju31gTurYc8Aq_yZMbvbxg) | | 28 FEB | @cyberknow20 | Stormous ransomware targets Ukraine Ministry of Foreign Affairs | [twitter.com/cyberknow20](https://twitter.com/cyberknow20/status/1498434090206314498?s=21) | | 1 MAR | ESET | IsaacWiper and HermeticWizard | [welivesecurity.com](https://www.welivesecurity.com/2022/03/01/isaacwiper-hermeticwizard-wiper-worm-targeting-ukraine/) | | 1 MAR | Proofpoint | Ukrainian armed service member's email compromised and sent malspam containing the SunSeed malware (likely TA445/UNC1151/Ghostwriter) | [proofpoint.com](https://www.proofpoint.com/us/blog/threat-insight/asylum-ambuscade-state-actor-uses-compromised-private-ukrainian-military-emails) | | 1 MAR | Elastic | HermeticWiper | [elastic.github.io](https://elastic.github.io/security-research/intelligence/2022/03/01.hermeticwiper-targets-ukraine/article/) | | 1 MAR | CrowdStrike | PartyTicket (aka HermeticRansom), DriveSlayer (aka HermeticWiper) | [CrowdStrike](https://www.crowdstrike.com/blog/how-to-decrypt-the-partyticket-ransomware-targeting-ukraine/) | | 2 MAR | Zscaler | DanaBot operators launch DDoS attacks against the Ukrainian Ministry of Defense | [zscaler.com](https://www.zscaler.com/blogs/security-research/danabot-launches-ddos-attack-against-ukrainian-ministry-defense) | | 3 MAR | @ShadowChasing1 | Gamaredon/Shuckworm/PrimitiveBear (FSB) | [twitter.com/ShadowChasing1](https://twitter.com/ShadowChasing1/status/1499361093059153921) | | 3 MAR | @vxunderground | News website in Poland was reportedly compromised and the threat actor uploaded anti-Ukrainian propaganda | [twitter.com/vxunderground](https://twitter.com/vxunderground/status/1499374914758918151?s=20&t=jyy9Hnpzy-5P1gcx19bvIA) | | 3 MAR | @kylaintheburgh | Russian botnet on Twitter is pushing "#istandwithputin" and "#istandwithrussia" propaganda (in English) | [twitter.com/kylaintheburgh](https://twitter.com/kylaintheburgh/status/1499350578371067906?s=21) | | 3 MAR | @tracerspiff | UNC1151/Ghostwriter (Belarus MoD) | [twitter.com](https://twitter.com/tracerspiff/status/1499444876810854408?s=21) | #### `Access Brokers` | Date | Threat(s) | Source | | --- | --- | --- | | 23 JAN | Access broker "Mont4na" offering UkrFerry | RaidForums [not linked] | | 23 JAN | Access broker "Mont4na" offering PrivatBank | RaidForums [not linked] | | 24 JAN | Access broker "Mont4na" offering DTEK | RaidForums [not linked] | | 27 FEB | KelvinSecurity Sharing list of IP cameras in Ukraine | vHUMINT [closed source] | | 28 FEB | "w1nte4mute" looking to buy access to UA and NATO countries (likely ransomware affiliate) | vHUMINT [closed source] | #### `Data Brokers` | Threat Actor | Type | Observation | Validated | Relevance | Source | | --------------- | --------------- | --------------------------------------------------------------------------------------------------------- | --------- | ----------------------------- | ---------------------------------------------------------- | | aguyinachair | UA data sharing | PII DB of ukraine.com (shared as part of a generic compilation) | No | TA discussion in past 90 days | ELeaks Forum \[not linked\] | | an3key | UA data sharing | DB of Ministry of Communities and Territories Development of Ukraine (minregion\[.\]gov\[.\]ua) | No | TA discussion in past 90 days | RaidForums \[not linked; site hijacked since UA invasion\] | | an3key | UA data sharing | DB of Ukrainian Ministry of Internal Affairs (wanted\[.\]mvs\[.\]gov\[.\]ua) | No | TA discussion in past 90 days | RaidForums \[not linked; site hijacked since UA invasion\] | | CorelDraw | UA data sharing | PII DB (40M) of PrivatBank customers (privatbank\[.\]ua) | No | TA discussion in past 90 days | RaidForums \[not linked; site hijacked since UA invasion\] | | CorelDraw | UA data sharing | DB of "border crossing" DBs of DPR and LPR | No | TA discussion in past 90 days | RaidForums \[not linked; site hijacked since UA invasion\] | | CorelDraw | UA data sharing | PII DB (7.5M) of Ukrainian passports | No | TA discussion in past 90 days | RaidForums \[not linked; site hijacked since UA invasion\] | | CorelDraw | UA data sharing | PII DB of Ukrainian car registration, license plates, Ukrainian traffic police records | No | TA discussion in past 90 days | RaidForums \[not linked; site hijacked since UA invasion\] | | CorelDraw | UA data sharing | PII DB (2.1M) of Ukrainian citizens | No | TA discussion in past 90 days | RaidForums \[not linked; site hijacked since UA invasion\] | | CorelDraw | UA data sharing | PII DB (28M) of Ukrainian citizens (passports, drivers licenses, photos) | No | TA discussion in past 90 days | RaidForums \[not linked; site hijacked since UA invasion\] | | CorelDraw | UA data sharing | PII DB (1M) of Ukrainian postal/courier service customers (novaposhta\[.\]ua) | No | TA discussion in past 90 days | RaidForums \[not linked; site hijacked since UA invasion\] | | CorelDraw | UA data sharing | PII DB (10M) of Ukrainian telecom customers (vodafone\[.\]ua) | No | TA discussion in past 90 days | RaidForums \[not linked; site hijacked since UA invasion\] | | CorelDraw | UA data sharing | PII DB (3M) of Ukrainian telecom customers (lifecell\[.\]ua) | No | TA discussion in past 90 days | RaidForums \[not linked; site hijacked since UA invasion\] | | CorelDraw | UA data sharing | PII DB (13M) of Ukrainian telecom customers (kyivstar\[.\]ua) | No | TA discussion in past 90 days | RaidForums \[not linked; site hijacked since UA invasion\] | | danieltx51 | UA data sharing | DB of Ministry of Foreign Affairs of Ukraine (mfa\[.\]gov\[.\]ua) | No | TA discussion in past 90 days | RaidForums \[not linked; site hijacked since UA invasion\] | | DueDiligenceCIS | UA data sharing | PII DB (63M) of Ukrainian citizens (name, DOB, birth country, phone, TIN, passport, family, etc) | No | TA discussion in past 90 days | RaidForums \[not linked; site hijacked since UA invasion\] | | Featherine | UA data sharing | DB of Ukrainian 'Diia' e-Governance Portal for Ministry of Digital Transformation of Ukraine | No | TA discussion in past 90 days | RaidForums \[not linked; site hijacked since UA invasion\] | | FreeCivilian | UA data sharing | DB of Ministry for Internal Affairs of Ukraine public data search engine (wanted\[.\]mvs\[.\]gov\[.\]ua) | No | TA discussion in past 90 days | RaidForums \[not linked; site hijacked since UA invasion\] | | FreeCivilian | UA data sharing | DB of Ministry for Communities and Territories Development of Ukraine (minregion\[.\]gov\[.\]ua) | No | TA discussion in past 90 days | RaidForums \[not linked; site hijacked since UA invasion\] | | FreeCivilian | UA data sharing | DB of Motor Insurance Bureau of Ukraine (mtsbu\[.\]ua) | No | TA discussion in past 90 days | RaidForums \[not linked; site hijacked since UA invasion\] | | FreeCivilian | UA data sharing | PII DB of Ukrainian digital-medicine provider (medstar\[.\]ua) | No | TA discussion in past 90 days | RaidForums \[not linked; site hijacked since UA invasion\] | | FreeCivilian | UA data sharing | DB of ticket.kyivcity.gov.ua | No | TA discussion in past 90 days | FreeCivilian .onion \[not linked\] | | FreeCivilian | UA data sharing | DB of id.kyivcity.gov.ua | No | TA discussion in past 90 days | FreeCivilian .onion \[not linked\] | | FreeCivilian | UA data sharing | DB of my.kyivcity.gov.ua | No | TA discussion in past 90 days | FreeCivilian .onion \[not linked\] | | FreeCivilian | UA data sharing | DB of portal.kyivcity.gov.ua | No | TA discussion in past 90 days | FreeCivilian .onion \[not linked\] | | FreeCivilian | UA data sharing | DB of anti-violence-map.msp.gov.ua | No | TA discussion in past 90 days | FreeCivilian .onion \[not linked\] | | FreeCivilian | UA data sharing | DB of dopomoga.msp.gov.ua | No | TA discussion in past 90 days | FreeCivilian .onion \[not linked\] | | FreeCivilian | UA data sharing | DB of e-services.msp.gov.ua | No | TA discussion in past 90 days | FreeCivilian .onion \[not linked\] | | FreeCivilian | UA data sharing | DB of edu.msp.gov.ua | No | TA discussion in past 90 days | FreeCivilian .onion \[not linked\] | | FreeCivilian | UA data sharing | DB of education.msp.gov.ua | No | TA discussion in past 90 days | FreeCivilian .onion \[not linked\] | | FreeCivilian | UA data sharing | DB of ek-cbi.msp.gov.ua | No | TA discussion in past 90 days | FreeCivilian .onion \[not linked\] | | FreeCivilian | UA data sharing | DB of mail.msp.gov.ua | No | TA discussion in past 90 days | FreeCivilian .onion \[not linked\] | | FreeCivilian | UA data sharing | DB of portal-gromady.msp.gov.ua | No | TA discussion in past 90 days | FreeCivilian .onion \[not linked\] | | FreeCivilian | UA data sharing | DB of web-minsoc.msp.gov.ua | No | TA discussion in past 90 days | FreeCivilian .onion \[not linked\] | | FreeCivilian | UA data sharing | DB of wcs-wim.dsbt.gov.ua | No | TA discussion in past 90 days | FreeCivilian .onion \[not linked\] | | FreeCivilian | UA data sharing | DB of bdr.mvs.gov.ua | No | TA discussion in past 90 days | FreeCivilian .onion \[not linked\] | | FreeCivilian | UA data sharing | DB of motorsich.com | No | TA discussion in past 90 days | FreeCivilian .onion \[not linked\] | | FreeCivilian | UA data sharing | DB of dsns.gov.ua | No | TA discussion in past 90 days | FreeCivilian .onion \[not linked\] | | FreeCivilian | UA data sharing | DB of mon.gov.ua | No | TA discussion in past 90 days | FreeCivilian .onion \[not linked\] | | FreeCivilian | UA data sharing | DB of minagro.gov.ua | No | TA discussion in past 90 days | FreeCivilian .onion \[not linked\] | | FreeCivilian | UA data sharing | DB of zt.gov.ua | No | TA discussion in past 90 days | FreeCivilian .onion \[not linked\] | | FreeCivilian | UA data sharing | DB of kmu.gov.ua | No | TA discussion in past 90 days | FreeCivilian .onion \[not linked\] | | FreeCivilian | UA data sharing | DB of mvs.gov.ua | No | TA discussion in past 90 days | FreeCivilian .onion \[not linked\] | | FreeCivilian | UA data sharing | DB of dsbt.gov.ua | No | TA discussion in past 90 days | FreeCivilian .onion \[not linked\] | | FreeCivilian | UA data sharing | DB of forest.gov.ua | No | TA discussion in past 90 days | FreeCivilian .onion \[not linked\] | | FreeCivilian | UA data sharing | DB of nkrzi.gov.ua | No | TA discussion in past 90 days | FreeCivilian .onion \[not linked\] | | FreeCivilian | UA data sharing | DB of dabi.gov.ua | No | TA discussion in past 90 days | FreeCivilian .onion \[not linked\] | | FreeCivilian | UA data sharing | DB of comin.gov.ua | No | TA discussion in past 90 days | FreeCivilian .onion \[not linked\] | | FreeCivilian | UA data sharing | DB of dp.dpss.gov.ua | No | TA discussion in past 90 days | FreeCivilian .onion \[not linked\] | | FreeCivilian | UA data sharing | DB of esbu.gov.ua | No | TA discussion in past 90 days | FreeCivilian .onion \[not linked\] | | FreeCivilian | UA data sharing | DB of mms.gov.ua | No | TA discussion in past 90 days | FreeCivilian .onion \[not linked\] | | FreeCivilian | UA data sharing | DB of mova.gov.ua | No | TA discussion in past 90 days | FreeCivilian .onion \[not linked\] | | FreeCivilian | UA data sharing | DB of mspu.gov.ua | No | TA discussion in past 90 days | FreeCivilian .onion \[not linked\] | | FreeCivilian | UA data sharing | DB of nads.gov.ua | No | TA discussion in past 90 days | FreeCivilian .onion \[not linked\] | | FreeCivilian | UA data sharing | DB of reintegration.gov.ua | No | TA discussion in past 90 days | FreeCivilian .onion \[not linked\] | | FreeCivilian | UA data sharing | DB of sies.gov.ua | No | TA discussion in past 90 days | FreeCivilian .onion \[not linked\] | | FreeCivilian | UA data sharing | DB of sport.gov.ua | No | TA discussion in past 90 days | FreeCivilian .onion \[not linked\] | | FreeCivilian | UA data sharing | DB of mepr.gov.ua | No | TA discussion in past 90 days | FreeCivilian .onion \[not linked\] | | FreeCivilian | UA data sharing | DB of mfa.gov.ua | No | TA discussion in past 90 days | FreeCivilian .onion \[not linked\] | | FreeCivilian | UA data sharing | DB of va.gov.ua | No | TA discussion in past 90 days | FreeCivilian .onion \[not linked\] | | FreeCivilian | UA data sharing | DB of mtu.gov.ua | No | TA discussion in past 90 days | FreeCivilian .onion \[not linked\] | | FreeCivilian | UA data sharing | DB of cg.mvs.gov.ua | No | TA discussion in past 90 days | FreeCivilian .onion \[not linked\] | | FreeCivilian | UA data sharing | DB of ch-tmo.mvs.gov.ua | No | TA discussion in past 90 days | FreeCivilian .onion \[not linked\] | | FreeCivilian | UA data sharing | DB of cp.mvs.gov.ua | No | TA discussion in past 90 days | FreeCivilian .onion \[not linked\] | | FreeCivilian | UA data sharing | DB of cpd.mvs.gov.ua | No | TA discussion in past 90 days | FreeCivilian .onion \[not linked\] | | FreeCivilian | UA data sharing | DB of hutirvilnij-mrc.mvs.gov.ua | No | TA discussion in past 90 days | FreeCivilian .onion \[not linked\] | | FreeCivilian | UA data sharing | DB of dndekc.mvs.gov.ua | No | TA discussion in past 90 days | FreeCivilian .onion \[not linked\] | | FreeCivilian | UA data sharing | DB of visnyk.dndekc.mvs.gov.ua | No | TA discussion in past 90 days | FreeCivilian .onion \[not linked\] | | FreeCivilian | UA data sharing | DB of dpvs.hsc.gov.ua | No | TA discussion in past 90 days | FreeCivilian .onion \[not linked\] | | FreeCivilian | UA data sharing | DB of odk.mvs.gov.ua | No | TA discussion in past 90 days | FreeCivilian .onion \[not linked\] | | FreeCivilian | UA data sharing | DB of e-driver\[.\]hsc\[.\]gov\[.\]ua | No | TA discussion in past 90 days | FreeCivilian .onion \[not linked\] | | FreeCivilian | UA data sharing | DB of wanted\[.\]mvs\[.\]gov\[.\]ua | No | TA discussion in past 90 days | FreeCivilian .onion \[not linked\] | | FreeCivilian | UA data sharing | DB of minregeion\[.\]gov\[.\]ua | No | TA discussion in past 90 days | FreeCivilian .onion \[not linked\] | | FreeCivilian | UA data sharing | DB of health\[.\]mia\[.\]solutions | No | TA discussion in past 90 days | FreeCivilian .onion \[not linked\] | | FreeCivilian | UA data sharing | DB of mtsbu\[.\]ua | No | TA discussion in past 90 days | FreeCivilian .onion \[not linked\] | | FreeCivilian | UA data sharing | DB of motorsich\[.\]com | No | TA discussion in past 90 days | FreeCivilian .onion \[not linked\] | | FreeCivilian | UA data sharing | DB of kyivcity\[.\]com | No | TA discussion in past 90 days | FreeCivilian .onion \[not linked\] | | FreeCivilian | UA data sharing | DB of bdr\[.\]mvs\[.\]gov\[.\]ua | No | TA discussion in past 90 days | FreeCivilian .onion \[not linked\] | | FreeCivilian | UA data sharing | DB of gkh\[.\]in\[.\]ua | No | TA discussion in past 90 days | FreeCivilian .onion \[not linked\] | | FreeCivilian | UA data sharing | DB of kmu\[.\]gov\[.\]ua | No | TA discussion in past 90 days | FreeCivilian .onion \[not linked\] | | FreeCivilian | UA data sharing | DB of mon\[.\]gov\[.\]ua | No | TA discussion in past 90 days | FreeCivilian .onion \[not linked\] | | FreeCivilian | UA data sharing | DB of minagro\[.\]gov\[.\]ua | No | TA discussion in past 90 days | FreeCivilian .onion \[not linked\] | | FreeCivilian | UA data sharing | DB of mfa\[.\]gov\[.\]ua | No | TA discussion in past 90 days | FreeCivilian .onion \[not linked\] | | Intel\_Data | UA data sharing | PII DB (56M) of Ukrainian Citizens | No | TA discussion in past 90 days | RaidForums \[not linked; site hijacked since UA invasion\] | | Kristina | UA data sharing | DB of Ukrainian National Police (mvs\[.\]gov\[.\]ua) | No | TA discussion in past 90 days | RaidForums \[not linked; site hijacked since UA invasion\] | | NetSec | UA data sharing | PII DB (53M) of Ukrainian citizens | No | TA discussion in past 90 days | RaidForums \[not linked; site hijacked since UA invasion\] | | Psycho\_Killer | UA data sharing | PII DB (56M) of Ukrainian Citizens | No | TA discussion in past 90 days | Exploit Forum .onion \[not linked\] | | Sp333 | UA data sharing | PII DB of Ukrainian and Russian interpreters, translators, and tour guides | No | TA discussion in past 90 days | RaidForums \[not linked; site hijacked since UA invasion\] | | Vaticano | UA data sharing | DB of Ukrainian 'Diia' e-Governance Portal for Ministry of Digital Transformation of Ukraine \[copy\] | No | TA discussion in past 90 days | RaidForums \[not linked; site hijacked since UA invasion\] | | Vaticano | UA data sharing | DB of Ministry for Communities and Territories Development of Ukraine (minregion\[.\]gov\[.\]ua) \[copy\] | No | TA discussion in past 90 days | RaidForums \[not linked; site hijacked since UA invasion\] | #### `Vendor Support` | Vendor | Offering | URL | | --- | --- | --- | | Dragos | Access to Dragos service if from US/UK/ANZ and in need of ICS cybersecurity support | [twitter.com/RobertMLee](https://twitter.com/RobertMLee/status/1496862093588455429) | | GreyNoise | Any and all `Ukrainian` emails registered to GreyNoise have been upgraded to VIP which includes full, uncapped enterprise access to all GreyNoise products | [twitter.com/Andrew___Morris](https://twitter.com/Andrew___Morris/status/1496923545712091139) | | Recorded Future | Providing free intelligence-driven insights, perspectives, and mitigation strategies as the situation in Ukraine evolves| [recordedfuture.com](https://www.recordedfuture.com/ukraine/) | | Flashpoint | Free Access to Flashpoint’s Latest Threat Intel on Ukraine | [go.flashpoint-intel.com](https://go.flashpoint-intel.com/trial/access/30days) | | ThreatABLE | A Ukraine tag for free threat intelligence feed that's more highly curated to cyber| [twitter.com/threatable](https://twitter.com/threatable/status/1497233721803644950) | | Orange | IOCs related to Russia-Ukraine 2022 conflict extracted from our Datalake Threat Intelligence platform. | [github.com/Orange-Cyberdefense](https://github.com/Orange-Cyberdefense/russia-ukraine_IOCs)| | FSecure | F-Secure FREEDOME VPN is now available for free in all of Ukraine | [twitter.com/FSecure](https://twitter.com/FSecure/status/1497248407303462960) | | Multiple vendors | List of vendors offering their services to Ukraine for free, put together by [@chrisculling](https://twitter.com/chrisculling/status/1497023038323404803) | [docs.google.com/spreadsheets](https://docs.google.com/spreadsheets/d/18WYY9p1_DLwB6dnXoiiOAoWYD8X0voXtoDl_ZQzjzUQ/edit#gid=0) | | Mandiant | Free threat intelligence, webinar and guidance for defensive measures relevant to the situation in Ukraine. | [mandiant.com](https://www.mandiant.com/resources/insights/ukraine-crisis-resource-center) | | Starlink | Satellite internet constellation operated by SpaceX providing satellite Internet access coverage to Ukraine | [twitter.com/elonmusk](https://twitter.com/elonmusk/status/1497701484003213317) | | Romania DNSC | Romania’s DNSC – in partnership with Bitdefender – will provide technical consulting, threat intelligence and, free of charge, cybersecurity technology to any business, government institution or private citizen of Ukraine for as long as it is necessary. | [Romania's DNSC Press Release](https://dnsc.ro/citeste/press-release-dnsc-and-bitdefender-work-together-in-support-of-ukraine)| | BitDefender | Access to Bitdefender technical consulting, threat intelligence and both consumer and enterprise cybersecurity technology | [bitdefender.com/ukraine/](https://www.bitdefender.com/ukraine/) | | NameCheap | Free anonymous hosting and domain name registration to any anti-Putin anti-regime and protest websites for anyone located within Russia and Belarus | [twitter.com/Namecheap](https://twitter.com/Namecheap/status/1498998414020861953) | | Avast | Free decryptor for PartyTicket ransomware | [decoded.avast.io](https://decoded.avast.io/threatresearch/help-for-ukraine-free-decryptor-for-hermeticransom-ransomware/) | #### `Vetted OSINT Sources` | Handle | Affiliation | | --- | --- | | [@KyivIndependent](https://twitter.com/KyivIndependent) | English-language journalism in Ukraine | | [@IAPonomarenko](https://twitter.com/IAPonomarenko) | Defense reporter with The Kyiv Independent | | [@KyivPost](https://twitter.com/KyivPost) | English-language journalism in Ukraine | | [@Shayan86](https://twitter.com/Shayan86) | BBC World News Disinformation journalist | | [@Liveuamap](https://twitter.com/Liveuamap) | Live Universal Awareness Map (“Liveuamap”) independent global news and information site | | [@DAlperovitch](https://twitter.com/DAlperovitch) | The Alperovitch Institute for Cybersecurity Studies, Founder & Former CTO of CrowdStrike | | [@COUPSURE](https://twitter.com/COUPSURE) | OSINT investigator for Centre for Information Resilience | | [@netblocks](https://twitter.com/netblocks) | London-based Internet's Observatory | #### `Miscellaneous Resources` | Source | URL | Content | | --- | --- | --- | | PowerOutages.com | https://poweroutage.com/ua | Tracking PowerOutages across Ukraine | | Monash IP Observatory | https://twitter.com/IP_Observatory | Tracking IP address outages across Ukraine | | Project Owl Discord | https://discord.com/invite/projectowl | Tracking foreign policy, geopolitical events, military and governments, using a Discord-based crowdsourced approach, with a current emphasis on Ukraine and Russia | | russianwarchatter.info | https://www.russianwarchatter.info/ | Known Russian Military Radio Frequencies |
emr4h / CyberMachineDetects cyber threats to the end user with machine learning. This tool can do malware analysis of given exe file, spam analysis of given url and mail.
mishtudeep / Face Recognition Based Attendance Moniroeing SystemFacial recognition could soon jump from your smartphone to your workplace with employers using it to mark attendance and gauge the mood of the workforce.Every day, corporate offices and institutes are working to increase the productive working hours in a day. When the current system of clocking in daily using a fingerprint scanner is a time-consuming and inefficient use of time. I have planned to design a Voice Interactive Face Detection Based Smart Attendance management and behavior analysis to ensure a better work culture and environment,efficiency in a secure manner using Intel dev cloud. Currently, we have fingerprint and Smart-card Based entries in nearly all offices and a few schools and colleges. These system then automates the calculation of salary or attendance percentage.But fingerprint scanning and smart card barcode entries tend to take up time and prove to also be imperfect. In contrast, Face Recognition method provides a unique feature for every individual which is stored in a central database and can be retrieved during recognition and validation. The system includes an embedded application deployed in a SCB( Single Board Computer) which can interact with the users in real time. It will take down in and out time of every employee and monitor their working behavior(future scope) and notify the corresponding employee and the authority at times. We are aiming to analyze people's behavior,mood and emotions by monitoring and studying their actions in real time which in turn will help the organization know about the physical and mental status of the employees. This process of direct integration of physical world into computer vision based systems will indeed result in efficiency improvements, economic benefits and reduced human exertions. As of now I have developed a basic voice interactive attendance monitoring using Jupyter Notebook on Intel dev cloud. The in and out time (including mid in and out) will be monitored in Google spreadsheet and the system will calculate how many hours an employee has spent in office premises. The system won’t allow employees to step into the office after a certain time and won’t consider the attendance if the total hours spent is less than four hours. Everyday a mail will be sent to the admin containing the attendance details of the employees. In future, I would like to implement behavior and mood analysis of the employees and the staff on the office premises which in turn will help the concerned staff provide with solutions to get over the listless mood or erratic behavior.
convosense / Email Signature RemoverEmail Signature remover - Extracting email body out of the email text in order to get accurate sentiment results, using NLP tasks.
VishalKumar-S / Sales Conversion Optimization MLOps ProjectSales Conversion Optimization MLOps: Boost revenue with AI-powered insights. Features H2O AutoML, ZenML pipelines, Neptune.ai tracking, data validation, drift analysis, CI/CD, Streamlit app, Docker, and GitHub Actions. Includes e-mail alerts, Discord/Slack integration, and SHAP interpretability. Streamline ML workflow and enhance sales performance.
yqmark / AgreementPrivacy Policy introduction We understand the importance of personal information to you and will do our utmost to protect your personal information. We are committed to maintaining your trust in us and to abide by the following principles to protect your personal information: the principle of consistency of rights and responsibilities, the principle of purpose , choose the principle of consent, at least the principle of sufficient use, ensure the principle of security, the principle of subject participation, the principle of openness and transparency, and so on. At the same time, we promise that we will take appropriate security measures to protect your personal information according to the industry's mature security solutions. In view of this, we have formulated this "Private Privacy Policy" (hereinafter referred to as "this policy" /This Privacy Policy") and remind you: This policy applies to products or services on this platform. If the products or services provided by the platform are used in the products or services of our affiliates (for example, using the platform account directly) but there is no independent privacy policy, this policy also applies to the products or services. It is important to note that this policy does not apply to other third-party services provided by you, nor to products or services on this platform that have been independently set up with a privacy policy. Before using the products or services on this platform, please read and understand this policy carefully, and use the related products or services after confirming that you fully understand and agree. By using the products or services on this platform, you understand and agree to this policy. If you have any questions, comments or suggestions about the content of this policy, you can contact us through various contact methods provided by this platform. This privacy policy section will help you understand the following: How we collect and use your personal information How do we use cookies and similar technologies? How do we share, transfer, and publicly disclose your personal information? How we protect your personal information How do you manage your personal information? How do we deal with the personal information of minors? How your personal information is transferred globally How to update this privacy policy How to contact us 一、How we collect and use your personal information Personal information refers to various information recorded electronically or otherwise that can identify a specific natural person or reflect the activities of a particular natural person, either alone or in combination with other information. We collect and use your information for the purposes described in this policy. Personal information: （一）Help you become our user To create an account so that we can serve you, you will need to provide the following information: your nickname, avatar, gender, date of birth, mobile number/signal/QQ number, and create a username and password. During the registration process, if you provide the following additional information to supplement your personal information, it will help us to provide you with better service and experience: your real name, real ID information, hometown, emotional status, constellation, occupation, school Your real avatar. However, if you do not provide this information, it will not affect the basic functions of using the platform products or services. The above information provided by you will continue to authorize us during your use of the Service. When you voluntarily cancel your account, we will make it anonymous or delete your personal information as soon as possible in accordance with applicable laws and regulations. （二）Show and push goods or services for you In order to improve our products or services and provide you with personalized information search and transaction services, we will extract your browsing, search preferences, behavioral habits based on your browsing and search history, device information, location information, and transaction information. Features such as location information, indirect crowd portraits based on feature tags, and display and push information. If you do not want to accept commercials that we send to you, you can cancel them at any time through the product unsubscribe feature. （三）Provide goods or services to you 1、Information you provide to us Relevant personal information that you provide to us when registering for an account or using our services, such as phone numbers, emails, bank card numbers or Alipay accounts; The shared information that you provide to other parties through our services and the information that you store when you use our services. Before providing the platform with the aforementioned personal information of the other party, you need to ensure that you have obtained your authorization. 2、Information we collect during your use of the service In order to provide you with page display and search results that better suit your needs, understand product suitability, and identify account anomalies, we collect and correlate information about the services you use and how they are used, including: Device Information: We will receive and record information about the device you are using (such as device model, operating system version, device settings, unique device identifier, etc.) based on the specific permissions you have granted during software installation and use. Information about the location of the device (such as Idiv address, GdivS location, and Wi-Fi that can provide relevant information) Sensor information such as access points, Bluetooth and base stations. Since the services we provide are based on the mobile social services provided by the geographic location, you confirm that the successful registration of the "this platform" account is deemed to confirm the authorization to extract, disclose and use your geographic location information. . If you need to terminate your location information to other users, you can set it to be invisible at any time. Log information: When you use our website or the products or services provided by the client, we will automatically collect your detailed usage of our services as a related web log. For example, your search query content, Idiv address, browser type, telecom carrier, language used, date and time of access, and web page history you visit. Please note that separate device information, log information, etc. are information that does not identify a particular natural person. If we combine such non-personal information with other information to identify a particular natural person or use it in conjunction with personal information, such non-personal information will be treated as personal information during the combined use, except for your authorization. Or as otherwise provided by laws and regulations, we will anonymize and de-identify such personal information. When you contact us, we may save information such as your communication/call history and content or the contact information you left in order to contact you or help you solve the problem or to document the resolution and results of the problem. 3、Your personal information collected through indirect access You can use the products or services provided by our affiliates through the link of the platform provided by our platform account. In order to facilitate our one-stop service based on the linked accounts and facilitate your unified management, we will show you on this platform. Information or recommendations for information you are interested in, including information from live broadcasts and games. You can discover and use the above services through the homepage of the platform, "More" and other functions. When you use the above services through our products or services, you authorize us to receive, aggregate, and analyze from our affiliates based on actual business and cooperation needs, we confirm that their source is legal or that you authorize to consent to your personal information provided to us or Trading Information. If you refuse to provide the above information or refuse to authorize, you may not be able to use the corresponding products or services of our affiliates, or can not display relevant information, but does not affect the use of the platform to browse, chat, release dynamics and other core services. （四）Provide you with security Please note that in order to ensure the authenticity of the user's identity and provide you with better security, you can provide us with identification information such as identity card, military officer's card, passport, driver's license, social security card, residence permit, facial identification, and other biometric information. Personally sensitive information such as Sesame Credit and other real-name certifications. If you refuse to provide the above information, you may not be able to use services such as account management, live broadcast, and continuing risky transactions, but it will not affect your use of browsing, chat and other services. To improve the security of your services provided by us and our affiliates and partners, protect the personal and property of you or other users or the public from being compromised, and better prevent phishing websites, fraud, network vulnerabilities, computer viruses, cyber attacks , security risks such as network intrusion, more accurately identify violations of laws and regulations or the relevant rules of the platform, we may use or integrate your user information, transaction information, equipment information, related web logs and our affiliates, partners to obtain You authorize or rely on the information shared by law to comprehensively judge your account and transaction risks, conduct identity verification, detect and prevent security incidents, and take necessary records, audits, analysis, and disposal measures in accordance with the law. （五）Other uses When we use the information for other purposes not covered by this policy, or if the information collected for a specific purpose is used for other purposes, you will be asked for your prior consent. （六）Exception for authorization of consent According to relevant laws and regulations, collecting your personal information in the following situations does not require your authorized consent: 1、Related to national security and national defense security； 2、Related to public safety, public health, and major public interests； 3、Related to criminal investigation, prosecution, trial and execution of judgments, etc.； 4、It is difficult to obtain your own consent for the maintenance of the important legal rights of the personal information or other individuals’ lives and property； 5、The personal information collected is disclosed to the public by yourself; 二、How do we use cookies and similar technologies? （一）Cookies To ensure that your site is up and running, to give you an easier access experience, and to recommend content that may be of interest to you, we store a small data file called a cookie on your computer or mobile device. Cookies usually contain an identifier, a site name, and some numbers and characters. With cookies, websites can store data such as your preferences. （二）Website Beacons and Pixel Labels In addition to cookies, we use other technologies like web beacons and pixel tags on our website. For example, the email we send to you may contain an address link to the content of our website. If you click on the link, we will track the click to help us understand your product or service preferences so that we can proactively improve customer service. Experience. A web beacon is usually a transparent image that is embedded in a website or email. With the pixel tags in the email, we can tell if the email is open. If you don't want your event to be tracked this way, you can unsubscribe from our mailing list at any time. 三、How do we share, transfer, and publicly disclose your personal information? （一）shared We do not share your personal information with companies, organizations, and individuals other than the platform's service providers, with the following exceptions: 1、Sharing with explicit consent: We will share your personal information with others after obtaining your explicit consent. 2、Sharing under statutory circumstances: We may share your personal information in accordance with laws and regulations, litigation dispute resolution needs, or in accordance with the requirements of the administrative and judicial authorities. 3. Sharing with affiliates: In order to facilitate our services to you based on linked accounts, we recommend information that may be of interest to you or protect the personal property of affiliates or other users or the public of this platform from being infringed. Personal information may be shared with our affiliates. We will only share the necessary personal information (for example, to facilitate the use of our affiliated company products or services, we will share your necessary account information with affiliates) if we share your personal sensitive information or affiliate changes The use of personal information and the purpose of processing will be re-examined for your authorization. 4. Sharing with Authorized Partners: For the purposes stated in this Privacy Policy, some of our services will be provided by us and our authorized partners. We may share some of your personal information with our partners to provide better customer service and user experience. For example, arrange a partner to provide services. We will only share your personal information for legitimate, legitimate, necessary, specific, and specific purposes, and will only share the personal information necessary to provide the service. Our partners are not authorized to use shared personal information for other purposes unrelated to the product or service. Currently, our authorized partners include the following types: (2) Suppliers, service providers and other partners. We send information to suppliers, service providers and other partners who support our business, including providing technical infrastructure services, analyzing how our services are used, measuring the effectiveness of advertising and services, providing customer service, and facilitating payments. Or conduct academic research and investigations. (1) Authorized partners in advertising and analytics services. We will not use your personally identifiable information (information that identifies you, such as your name or email address, which can be used to contact you or identify you) and provide advertising and analytics services, unless you have your permission. Shared by partners. We will provide these partners with information about their advertising coverage and effectiveness, without providing your personally identifiable information, or we may aggregate this information so that it does not identify you personally. For example, we’ll only tell advertisers how effective their ads are when they agree to comply with our advertising guidelines, or how many people see their ads or install apps after seeing ads, or work with them. Partners provide statistical information that does not identify individuals (eg “male, 25-29 years old, in Beijing”) to help them understand their audience or customers. For companies, organizations and individuals with whom we share personal information, we will enter into strict data protection agreements with them to process individuals in accordance with our instructions, this Privacy Policy and any other relevant confidentiality and security measures. information. (2) Transfer We do not transfer your personal information to any company, organization or individual, except: Transfer with the express consent: After obtaining your explicit consent, we will transfer your personal information to other parties; 2, in the case of mergers, acquisitions or bankruptcy liquidation, or other circumstances involving mergers, acquisitions or bankruptcy liquidation, if it involves the transfer of personal information, we will require new companies and organizations that hold your personal information to continue to receive This policy is bound, otherwise we will ask the company, organization and individual to re-seek your consent. (3) Public disclosure We will only publicly disclose your personal information in the following circumstances: We may publicly disclose your personal information by obtaining your explicit consent or based on your active choice; 2, if we determine that you have violated laws and regulations or serious violations of the relevant rules of the platform, or to protect the personal safety of the platform and its affiliates users or the public from infringement, we may be based on laws and regulations or The relevant agreement rules of this platform disclose your personal information, including related violations, and the measures that the platform has taken against you, with your consent. (4) Exceptions for prior authorization of consent when sharing, transferring, and publicly disclosing personal information In the following situations, sharing, transferring, and publicly disclosing your personal information does not require prior authorization from you: Related to national security and national defense security; Related to public safety, public health, and major public interests; 3, related to criminal investigation, prosecution, trial and judgment execution; 4, in order to protect your or other individuals' life, property and other important legal rights but it is difficult to get my consent; Personal information that you disclose to the public on your own; Collect personal information from legally publicly disclosed information, such as legal news reports and government information disclosure. According to the law, sharing, transferring and de-identifying personal information, and ensuring that the data recipient cannot recover and re-identify the personal information subject, does not belong to the external sharing, transfer and public disclosure of personal information. The preservation and processing of the class data will not require additional notice and your consent. How do we protect your personal information? (1) We have taken reasonable and feasible security measures in accordance with the industry's general solutions to protect the security of personal information provided by you, and to prevent unauthorized access, public disclosure, use, modification, damage or loss of personal information. For example, SSL (Secure Socket) when exchanging data (such as credit card information) between your browser and the server Layer) protocol encryption protection; we use encryption technology to improve the security of personal information; we use a trusted protection mechanism to prevent personal information from being maliciously attacked; we will deploy access control mechanisms to ensure that only authorized personnel can access individuals Information; and we will conduct security and privacy protection training courses to enhance employees' awareness of the importance of protecting personal information. (2) We have advanced data security management system around the data life cycle, which enhances the security of the whole system from organizational construction, system design, personnel management, product technology and other aspects. (3) We will take reasonable and feasible measures and try our best to avoid collecting irrelevant personal information. We will only retain your personal information for the period of time required to achieve the purposes stated in this policy, unless the retention period is extended or permitted by law. (4) The Internet is not an absolutely secure environment. We strongly recommend that you do not use personal communication methods that are not recommended by this platform. You can connect and share with each other through our services. When you create communications, transactions, or sharing through our services, you can choose who you want to communicate, trade, or share as a third party who can see your trading content, contact information, exchange information, or share content. If you find that your personal information, especially your account or password, has been leaked, please contact our customer service immediately so that we can take appropriate measures according to your application. Please note that the information you voluntarily share or even share publicly when using our services may involve personal information of you or others or even sensitive personal information, such as when you post a news or choose to upload in public in group chats, circles, etc. A picture containing personal information. Please consider more carefully whether you share or even share information publicly when using our services. Please use complex passwords to help us keep your account secure. We will do our best to protect the security of any information you send us. At the same time, we will report the handling of personal information security incidents in accordance with the requirements of the regulatory authorities. V. How your personal information is transferred globally Personal information collected and generated by us during our operations in the People's Republic of China is stored in China, with the following exceptions: Laws and regulations have clear provisions; 2, get your explicit authorization; 3, you through the Internet for cross-border live broadcast / release dynamics and other personal initiatives. In response to the above, we will ensure that your personal information is adequately protected in accordance with this Privacy Policy.
NestieGuilas / Marketing Platform Marketing Platform Google Analytics Terms of Service These Google Analytics Terms of Service (this "Agreement") are entered into by Google LLC ("Google") and the entity executing this Agreement ("You"). This Agreement governs Your use of the standard Google Analytics (the "Service"). BY CLICKING THE "I ACCEPT" BUTTON, COMPLETING THE REGISTRATION PROCESS, OR USING THE SERVICE, YOU ACKNOWLEDGE THAT YOU HAVE REVIEWED AND ACCEPT THIS AGREEMENT AND ARE AUTHORIZED TO ACT ON BEHALF OF, AND BIND TO THIS AGREEMENT, THE OWNER OF THIS ACCOUNT. In consideration of the foregoing, the parties agree as follows: 1. Definitions. "Account" refers to the account for the Service. All Profiles (as applicable) linked to a single Property will have their Hits aggregated before determining the charge for the Service for that Property. "Confidential Information" includes any proprietary data and any other information disclosed by one party to the other in writing and marked "confidential" or disclosed orally and, within five business days, reduced to writing and marked "confidential". However, Confidential Information will not include any information that is or becomes known to the general public, which is already in the receiving party's possession prior to disclosure by a party or which is independently developed by the receiving party without the use of Confidential Information. "Customer Data" or "Google Analytics Data" means the data you collect, process or store using the Service concerning the characteristics and activities of Users. "Documentation" means any accompanying documentation made available to You by Google for use with the Processing Software, including any documentation available online. "GAMC" means the Google Analytics Measurement Code, which is installed on a Property for the purpose of collecting Customer Data, together with any fixes, updates and upgrades provided to You. "Hit" means a collection of interactions that results in data being sent to the Service and processed. Examples of Hits may include page view hits and ecommerce hits. A Hit can be a call to the Service by various libraries, but does not have to be so (e.g., a Hit can be delivered to the Service by other Google Analytics-supported protocols and mechanisms made available by the Service to You). "Platform Home" means the user interface through which You can access certain Google Marketing Platform-level functionality. "Processing Software" means the Google Analytics server-side software and any upgrades, which analyzes the Customer Data and generates the Reports. "Profile" means the collection of settings that together determine the information to be included in, or excluded from, a particular Report. For example, a Profile could be established to view a small portion of a web site as a unique Report. "Property" means any web page, application, other property or resource under Your control that sends data to Google Analytics. "Privacy Policy" means the privacy policy on a Property. "Report" means the resulting analysis shown at www.google.com/analytics/, some of which may include analysis for a Profile. "Servers" means the servers controlled by Google (or its wholly-owned subsidiaries) on which the Processing Software and Customer Data are stored. “SDKs” mean certain software development kits, which may be used or incorporated into a Property app for the purpose of collecting Customer Data, together with any fixes, updates, and upgrades provided to You. "Software" means the Processing Software, GAMC and/or SDKs. "Third Party" means any third party (i) to which You provide access to Your Account or (ii) for which You use the Service to collect information on the third party's behalf. "Users" means users and/or visitors to Your Properties. The words "include" and "including" mean "including but not limited to." 2. Fees and Service. Subject to Section 15, the Service is provided without charge to You for up to 10 million Hits per month per Account. Google may change its fees and payment policies for the Service from time to time including the addition of costs for geographic data, the importing of cost data from search engines, or other fees charged to Google or its wholly-owned subsidiaries by third party vendors for the inclusion of data in the Service reports. The changes to the fees or payment policies are effective upon Your acceptance of those changes which will be posted at www.google.com/analytics/. Unless otherwise stated, all fees are quoted in U.S. Dollars. Any outstanding balance becomes immediately due and payable upon termination of this Agreement and any collection expenses (including attorneys' fees) incurred by Google will be included in the amount owed, and may be charged to the credit card or other billing mechanism associated with Your AdWords account. 3. Member Account, Password, and Security. To register for the Service, You must complete the registration process by providing Google with current, complete and accurate information as prompted by the registration form, including Your e-mail address (username) and password. You will protect Your passwords and take full responsibility for Your own, and third party, use of Your accounts. You are solely responsible for any and all activities that occur under Your Account. You will notify Google immediately upon learning of any unauthorized use of Your Account or any other breach of security. Google's (or its wholly-owned subsidiaries) support staff may, from time to time, log in to the Service under Your customer password in order to maintain or improve service, including to provide You assistance with technical or billing issues. 4. Nonexclusive License. Subject to the terms and conditions of this Agreement, (a) Google grants You a limited, revocable, non-exclusive, non-sublicensable license to install, copy and use the GAMC and/or SDKs solely as necessary for You to use the Service on Your Properties or Third Party's Properties; and (b) You may remotely access, view and download Your Reports stored at www.google.com/analytics/. You will not (and You will not allow any third party to) (i) copy, modify, adapt, translate or otherwise create derivative works of the Software or the Documentation; (ii) reverse engineer, decompile, disassemble or otherwise attempt to discover the source code of the Software, except as expressly permitted by the law in effect in the jurisdiction in which You are located; (iii) rent, lease, sell, assign or otherwise transfer rights in or to the Software, the Documentation or the Service; (iv) remove any proprietary notices or labels on the Software or placed by the Service; (v) use, post, transmit or introduce any device, software or routine which interferes or attempts to interfere with the operation of the Service or the Software; or (vi) use data labeled as belonging to a third party in the Service for purposes other than generating, viewing, and downloading Reports. You will comply with all applicable laws and regulations in Your use of and access to the Documentation, Software, Service and Reports. 5. Confidentiality and Beta Features. Neither party will use or disclose the other party's Confidential Information without the other's prior written consent except for the purpose of performing its obligations under this Agreement or if required by law, regulation or court order; in which case, the party being compelled to disclose Confidential Information will give the other party as much notice as is reasonably practicable prior to disclosing the Confidential Information. Certain Service features are identified as "Alpha," "Beta," "Experiment," (either within the Service or elsewhere by Google) or as otherwise unsupported or confidential (collectively, "Beta Features"). You may not disclose any information from Beta Features or the terms or existence of any non-public Beta Features. Google will have no liability arising out of or related to any Beta Features. 6. Information Rights and Publicity. Google and its wholly owned subsidiaries may retain and use, subject to the terms of its privacy policy (located at https://www.google.com/policies/privacy/), information collected in Your use of the Service. Google will not share Your Customer Data or any Third Party's Customer Data with any third parties unless Google (i) has Your consent for any Customer Data or any Third Party's consent for the Third Party's Customer Data; (ii) concludes that it is required by law or has a good faith belief that access, preservation or disclosure of Customer Data is reasonably necessary to protect the rights, property or safety of Google, its users or the public; or (iii) provides Customer Data in certain limited circumstances to third parties to carry out tasks on Google's behalf (e.g., billing or data storage) with strict restrictions that prevent the data from being used or shared except as directed by Google. When this is done, it is subject to agreements that oblige those parties to process Customer Data only on Google's instructions and in compliance with this Agreement and appropriate confidentiality and security measures. 7. Privacy. You will not and will not assist or permit any third party to, pass information to Google that Google could use or recognize as personally identifiable information. You will have and abide by an appropriate Privacy Policy and will comply with all applicable laws, policies, and regulations relating to the collection of information from Users. You must post a Privacy Policy and that Privacy Policy must provide notice of Your use of cookies, identifiers for mobile devices (e.g., Android Advertising Identifier or Advertising Identifier for iOS) or similar technology used to collect data. You must disclose the use of Google Analytics, and how it collects and processes data. This can be done by displaying a prominent link to the site "How Google uses data when you use our partners' sites or apps", (located at www.google.com/policies/privacy/partners/, or any other URL Google may provide from time to time). You will use commercially reasonable efforts to ensure that a User is provided with clear and comprehensive information about, and consents to, the storing and accessing of cookies or other information on the User’s device where such activity occurs in connection with the Service and where providing such information and obtaining such consent is required by law. You must not circumvent any privacy features (e.g., an opt-out) that are part of the Service. You will comply with all applicable Google Analytics policies located at www.google.com/analytics/policies/ (or such other URL as Google may provide) as modified from time to time (the "Google Analytics Policies"). You may participate in an integrated version of Google Analytics and certain Google advertising services ("Google Analytics Advertising Features"). If You use Google Analytics Advertising Features, You will adhere to the Google Analytics Advertising Features policy (available at support.google.com/analytics/bin/answer.py?hl=en&topic=2611283&answer=2700409). Your access to and use of any Google advertising service is subject to the applicable terms between You and Google regarding that service. If You use the Platform Home, Your use of the Platform Home is subject to the Platform Home Additional Terms (or as subsequently re-named) available at https://support.google.com/marketingplatform/answer/9047313 (or such other URL as Google may provide) as modified from time to time (the "Platform Home Terms"). 8. Indemnification. To the extent permitted by applicable law, You will indemnify, hold harmless and defend Google and its wholly-owned subsidiaries, at Your expense, from any and all third-party claims, actions, proceedings, and suits brought against Google or any of its officers, directors, employees, agents or affiliates, and all related liabilities, damages, settlements, penalties, fines, costs or expenses (including, reasonable attorneys' fees and other litigation expenses) incurred by Google or any of its officers, directors, employees, agents or affiliates, arising out of or relating to (i) Your breach of any term or condition of this Agreement, (ii) Your use of the Service, (iii) Your violations of applicable laws, rules or regulations in connection with the Service, (iv) any representations and warranties made by You concerning any aspect of the Service, the Software or Reports to any Third Party; (v) any claims made by or on behalf of any Third Party pertaining directly or indirectly to Your use of the Service, the Software or Reports; (vi) violations of Your obligations of privacy to any Third Party; and (vii) any claims with respect to acts or omissions of any Third Party in connection with the Service, the Software or Reports. Google will provide You with written notice of any claim, suit or action from which You must indemnify Google. You will cooperate as fully as reasonably required in the defense of any claim. Google reserves the right, at its own expense, to assume the exclusive defense and control of any matter subject to indemnification by You. 9. Third Parties. If You use the Service on behalf of the Third Party or a Third Party otherwise uses the Service through Your Account, whether or not You are authorized by Google to do so, then You represent and warrant that (a) You are authorized to act on behalf of, and bind to this Agreement, the Third Party to all obligations that You have under this Agreement, (b) Google may share with the Third Party any Customer Data that is specific to the Third Party's Properties, and (c) You will not disclose Third Party's Customer Data to any other party without the Third Party's consent. 10. DISCLAIMER OF WARRANTIES. TO THE FULLEST EXTENT PERMITTED BY APPLICABLE LAW, EXCEPT AS EXPRESSLY PROVIDED FOR IN THIS AGREEMENT, GOOGLE MAKES NO OTHER WARRANTY OF ANY KIND, WHETHER EXPRESS, IMPLIED, STATUTORY OR OTHERWISE, INCLUDING WITHOUT LIMITATION WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR USE AND NONINFRINGEMENT. 11. LIMITATION OF LIABILITY. TO THE EXTENT PERMITTED BY APPLICABLE LAW, GOOGLE WILL NOT BE LIABLE FOR YOUR LOST REVENUES OR INDIRECT, SPECIAL, INCIDENTAL, CONSEQUENTIAL, EXEMPLARY, OR PUNITIVE DAMAGES, EVEN IF GOOGLE OR ITS SUBSIDIARIES AND AFFILIATES HAVE BEEN ADVISED OF, KNEW OR SHOULD HAVE KNOWN THAT SUCH DAMAGES WERE POSSIBLE AND EVEN IF DIRECT DAMAGES DO NOT SATISFY A REMEDY. GOOGLE'S (AND ITS WHOLLY OWNED SUBSIDIARIES’) TOTAL CUMULATIVE LIABILITY TO YOU OR ANY OTHER PARTY FOR ANY LOSS OR DAMAGES RESULTING FROM CLAIMS, DEMANDS, OR ACTIONS ARISING OUT OF OR RELATING TO THIS AGREEMENT WILL NOT EXCEED $500 (USD). 12. Proprietary Rights Notice. The Service, which includes the Software and all Intellectual Property Rights therein are, and will remain, the property of Google (and its wholly owned subsidiaries). All rights in and to the Software not expressly granted to You in this Agreement are reserved and retained by Google and its licensors without restriction, including, Google's (and its wholly owned subsidiaries’) right to sole ownership of the Software and Documentation. Without limiting the generality of the foregoing, You agree not to (and not to allow any third party to): (a) sublicense, distribute, or use the Service or Software outside of the scope of the license granted in this Agreement; (b) copy, modify, adapt, translate, prepare derivative works from, reverse engineer, disassemble, or decompile the Software or otherwise attempt to discover any source code or trade secrets related to the Service; (c) rent, lease, sell, assign or otherwise transfer rights in or to the Software, Documentation or the Service; (d) use, post, transmit or introduce any device, software or routine which interferes or attempts to interfere with the operation of the Service or the Software; (e) use the trademarks, trade names, service marks, logos, domain names and other distinctive brand features or any copyright or other proprietary rights associated with the Service for any purpose without the express written consent of Google; (f) register, attempt to register, or assist anyone else to register any trademark, trade name, serve marks, logos, domain names and other distinctive brand features, copyright or other proprietary rights associated with Google (or its wholly owned subsidiaries) other than in the name of Google (or its wholly owned subsidiaries, as the case may be); (g) remove, obscure, or alter any notice of copyright, trademark, or other proprietary right appearing in or on any item included with the Service or Software; or (h) seek, in a proceeding filed during the term of this Agreement or for one year after such term, an injunction of any portion of the Service based on patent infringement. 13. U.S. Government Rights. If the use of the Service is being acquired by or on behalf of the U.S. Government or by a U.S. Government prime contractor or subcontractor (at any tier), in accordance with 48 C.F.R. 227.7202-4 (for Department of Defense (DOD) acquisitions) and 48 C.F.R. 2.101 and 12.212 (for non-DOD acquisitions), the Government's rights in the Software, including its rights to use, modify, reproduce, release, perform, display or disclose the Software or Documentation, will be subject in all respects to the commercial license rights and restrictions provided in this Agreement. 14. Term and Termination. Either party may terminate this Agreement at any time with notice. Upon any termination of this Agreement, Google will stop providing, and You will stop accessing the Service. Additionally, if Your Account and/or Properties are terminated, You will (i) delete all copies of the GAMC from all Properties and/or (ii) suspend any and all use of the SDKs within 3 business days of such termination. In the event of any termination (a) You will not be entitled to any refunds of any usage fees or any other fees, and (b) any outstanding balance for Service rendered through the date of termination will be immediately due and payable in full and (c) all of Your historical Report data will no longer be available to You. 15. Modifications to Terms of Service and Other Policies. Google may modify these terms or any additional terms that apply to the Service to, for example, reflect changes to the law or changes to the Service. You should look at the terms regularly. Google will post notice of modifications to these terms at https://www.google.com/analytics/terms/, the Google Analytics Policies at www.google.com/analytics/policies/, or other policies referenced in these terms at the applicable URL for such policies. Changes will not apply retroactively and will become effective no sooner than 14 days after they are posted. If You do not agree to the modified terms for the Service, You should discontinue Your use Google Analytics. No amendment to or modification of this Agreement will be binding unless (i) in writing and signed by a duly authorized representative of Google, (ii) You accept updated terms online, or (iii) You continue to use the Service after Google has posted updates to the Agreement or to any policy governing the Service. 16. Miscellaneous, Applicable Law and Venue. Google will be excused from performance in this Agreement to the extent that performance is prevented, delayed or obstructed by causes beyond its reasonable control. This Agreement (including any amendment agreed upon by the parties in writing) represents the complete agreement between You and Google concerning its subject matter, and supersedes all prior agreements and representations between the parties. If any provision of this Agreement is held to be unenforceable for any reason, such provision will be reformed to the extent necessary to make it enforceable to the maximum extent permissible so as to effect the intent of the parties, and the remainder of this Agreement will continue in full force and effect. This Agreement will be governed by and construed under the laws of the state of California without reference to its conflict of law principles. In the event of any conflicts between foreign law, rules, and regulations, and California law, rules, and regulations, California law, rules and regulations will prevail and govern. Each party agrees to submit to the exclusive and personal jurisdiction of the courts located in Santa Clara County, California. The United Nations Convention on Contracts for the International Sale of Goods and the Uniform Computer Information Transactions Act do not apply to this Agreement. The Software is controlled by U.S. Export Regulations, and it may be not be exported to or used by embargoed countries or individuals. Any notices to Google must be sent to: Google LLC, 1600 Amphitheatre Parkway, Mountain View, CA 94043, USA, with a copy to Legal Department, via first class or air mail or overnight courier, and are deemed given upon receipt. A waiver of any default is not a waiver of any subsequent default. You may not assign or otherwise transfer any of Your rights in this Agreement without Google's prior written consent, and any such attempt is void. The relationship between Google and You is not one of a legal partnership relationship, but is one of independent contractors. This Agreement will be binding upon and inure to the benefit of the respective successors and assigns of the parties hereto. The following sections of this Agreement will survive any termination thereof: 1, 4, 5, 6 (except the last two sentences), 7, 8, 9, 10, 11, 12, 14, 16, and 17. 17. Google Analytics for Firebase. If You link a Property to Firebase (“Firebase Linkage”) as part of using the Service, the following terms, in addition to Sections 1-16 above, will also apply to You, and will also govern Your use of the Service, including with respect to Your use of Firebase Linkage. Other than as modified below, all other terms will stay the same and continue to apply. In the event of a conflict between this Section 17 and Sections 1-16 above, the terms in Section 17 will govern and control solely with respect to Your use of the Firebase Linkage. The following definition in Section 1 is modified as follows: "Hit" means a collection of interactions that results in data being sent to the Service and processed. Examples of Hits may include page view hits and ecommerce hits. A Hit can be a call to the Service by various libraries, but does not have to be so (e.g., a Hit can be delivered to the Service by other Google Analytics-supported protocols and mechanisms made available by the Service to You). For the sake of clarity, a Hit does not include certain events whose collection reflects interactions with certain Properties capable of supporting multiple data streams, and which may include screen views and custom events (the collection of events, an “Enhanced Packet”). The following sentence is added to the end of Section 7 as follows: If You link a Property to a Firebase project (“Firebase Linkage”) (i) certain data from Your Property, including Customer Data, may be made accessible within or to any other entity or personnel according to permissions set in Firebase and (ii) that Property may have certain Service settings modified by authorized personnel of Firebase (notwithstanding the settings You may have designated for that Property within the Service). Last Updated June 17, 2019 Follow us About Google Marketing Platform Overview For Small Businesses For Enterprise Learning & support Support Blog Analytics Academy Skillshop Google Primer Developers & partners Google Marketing Platform Partners Google Measurement Partners Analytics for developers Tag Manager for developers Surveys for developers Campaign Manager 360 for developers Related products Google Ads Google AdSense Google Ad Manager Google Cloud Firebase More from Google Think with Google Business Solutions Google Workspace PrivacyTermsAbout GoogleGoogle Products Help
SwedbankAB / Swedbankemployee benefits swedbank The bank does not apply a variable remuneration system with discretionary pension benefits. Bank officials can borrow up to SEK 2 million at this special price. Employee benefits seb Health and benefits SEB. Work at a bank. The greatest lesson was personal knowledge. You follow up defined key figures for the customer and take action if necessary. The benefit varies in value, but the interest rates on the bank employees' mortgages are generally very low. Cookies are used, among other things, to save your settings, analyze how you surf and adapt content to suit you. Swedbank and the savings banks new partners to Samsung Pay Companies in major change towards customer contact via telephone and internet. We may start the selection during the application period and welcome your application as soon as possible. How long does the hiring process take, from first interview to employment, at Swedbank? Large workplace with many colleagues, very work-related discussions. Apply for a loan! Met customers every day, had fun with colleagues. IT MEDIA GROUP AB. Every time a project was finished and started, I felt a satisfaction and joy to have been involved in developing something new and important. The bank has employee benefits that employees can take advantage of. Next. Expenditure categories: milita…, Internal Consultant with Excel, Access and MS-Project, Project Manager Event Sponsorship Marketing Department. Right now, a super low 0.04 percent mortgage interest rate is offered for three-month loans. Huge Selectio. We offer you a stimulating workplace that provides valuable experience from various projects in fintech. I worked in a large team, which I enjoyed very much. Contractual pension. Apply no later than today. their significantly lower costs. Employees have ample opportunities for work rotation which contributes towards personal development and provides opportunities to try new areas of work. At Uniflex, we see our employees as our most important asset and therefore we offer • Collective agreements • Occupational pension • Wellness allowance and other employee benefits • Insurance • Market salary • Career and development We are constantly looking for new colleagues who work in agreement with our guiding stars business focus, commitment, joy and responsibility. employee benefits, which are stated in the instruction. 1 5 10 15 20 SEB SIXRX 29.4 -5.7 3.6 9.7 10.4 26.7 8.0 5.9 12.1 13.4 www.seb.se 9% 14% of total assets of total assets ABB is a leader in power and automation technology. Desktop Menu Toggle. Today, Söderberg & Partners 2017's best performing players in the Swedish financial industry. Expenditures: $ 50,000,000,000,000.00 ICA Bank - Employee Benefits Personal Finance. As a customer advisor, you will answer calls and provide service to private individuals. Employment contract Once you have received your employment contract, it is important that you check that all information is correct. Those who work at Swedbank get the very best conditions. A typical working day was to work both independently and have meetings with colleagues. The job was a challenge but also fun and stimulating. Employees have ample opportunities for work rotation which contributes towards personal development and provides opportunities to try new areas of work. Our Design Hub is located in the heart of Swedbank's modern head office. Work experience. Söderberg & Every year, Partners releases a sustainability analysis of the largest pension companies. In the role of Key Account Manager, you are commercially responsible for the main agreement, which means responsibility for negotiating the main agreement, coordinating business issues and business agreements, updating the agreement in the event of a change and anchoring with the contact persons. Clearing number is the number that identifies the bank and branch to which an account belongs. MENU MENU. That is why we like to see female applicants. Mainly internet. great opportunities to advance in your career. There are some benefits that are tax-free, such as staff care benefits. Variable compensation means compensation that is not determined in advance to Do you want a really low mortgage rate? Variable remuneration to employees and its purpose The Bank's operations are carried out by salaried employees who may have variable remuneration in addition to salary. At Swedbank, there is security and the opportunity to try new things in a stable environment with development opportunities and good employee benefits. Our Design Hub, together with the digital bank's management, business and developer, is located in the heart of Swedbank's modern head office in Sundbyberg. If you do not know the name, ask your HR-department. It is a wonderful and motivating work climate with good staff benefits as wellness allowance. Relatively high workload with stimulating tasks. Benify offers you instant access to your world of employee benefits, rewards and much more. Söderberg & Partner funds have changed their name. Personnel bikes work to help employers provide their employees with benefit bikes in a simple and safe way - something that can be financially beneficial for employers and employees. Your total budget for this promotion is kr85.7…, Gdp: $ 900,450,320,120,900,800.00 Wednesday's announcement is the end for Handelsbanken as we know it. Has taught me to work with various Swedbank's computer programs. Liked everything and everyone at Swedbank, thought everything was fun. CEO, editor-in-chief and responsible publisher: Anna Careborg, Editors and Acting responsible publishers: Maria Rimpi and Martin Ahlquist, Postal address Svenska Dagbladet, 105 17 Stockholm, Subscription matters and e-mail to customer serviceSubscription matters and e-mail to customer service. If you have more than one account (for example, an employee of several companies), you first need to fill in the company name. Benify privately. . In order for us to be able to create a sustainable society for everyone who lives, visits and works in Huddinge, you as an employee are the most important thing we have. Created a poorer work environment by reducing staff, as well as bonus systems. We may start the selection during the application period and welcome your application as soon as possible. If you were to leave Swedbank, what is the primary reason? Since Swedbank was formed about 8 years ago, the focus has been on a completely new bank based on customer contacts via digital channels. Trygghetsförvaltning has changed its name to Proaktiv Förvaltning. It is said that Google to take an SMS loan that grants SMS loans with in the US has been interested, but there to be indebted already at the beginning of its in the future. New report: Pension companies increasingly sustainable. The good reputation spreads, which gives more applications per ad and reduces the need for. These are stated in the bank's established employee benefits, where it is also stated any criteria for issuing the benefit. SvD Näringsliv has taken a closer look at what the conditions look like. 6.5 Severance pay Sparbanken shall ensure that compensation paid to an employee in connection with In December 2016, we announced that a name change would take place as a result of the Swedish Consumer Agency's statement on the Security Administration, there. If you have any questions, you are always welcome to contact us. 6.4 Contractual pension Pension benefits are paid in accordance with law and agreements. Those who work at Swedbank get the very best conditions. Ambea for me salary specification. With personnel loans, super interest rates are offered to all bank employees. Otherwise, they were very instructive. How flexible is Swedbank with working hours and working remotely? Söderberg & Partners - Hållbarhetsrapporten Pensionsbolag 2016. A typical working day was that you came to work at the same times of the day, picked up your work box that you had received from the bank with all your things in, then sat down at any computer table, logged in to computer, opened all the programs to work with and began receiving calls and emails. But the benefit taxation means that it is not quite as good as it first seems. Swedbank and more Swedish banks Clearing number is the number that identifies the bank and the branch to which an account belongs. At the bank, I learned an incredible amount. Flexible working hours are applied. Anxious work environment where everything talked between colleagues concerns how long you can keep your job. Working at ABB gives you an opportunity to contribute to a more prosperous and sustainable world. Apply. ; ‚] Ú ÏÃÎG; ùÄ £ ÷ ä› ÿÃÉ — Îþúêîîê'ÿ "ÿéêêîˆ97› Ò ¥ “2nú & ó $;› t'Ó & á. Customer and employee satisfaction is always on top of the agenda. Are you used to working with complexes sales and has a strong business and customer focus? booked via customer service. Good benefits. Contractual pension The bank does not apply a variable remuneration system with discretionary pension benefits. Then you are the Key Account Manager we are looking for at PayEx! \\ n \\ n Background: \\ n \\ nPayEx is a company with two business areas, PayEx. Swedbank Hypotek AB, 556003-3283 - At allabolag.se you will find, financial statements, key figures, group, group tree, board, Status no less than 24 lenders do it and you pay a fee. Today, they can take out mortgages at 0.04 percent interest. The funds that were previously called Trygghet have now changed their name to Proaktiv, but the services remain the same. The results are based on Söderberg & Partners' annual traffic light report, which contains analyzes of the entire Swedish savings market and is compiled to keep savers informed about how the providers of financial services and products perform. Flashback Forum 46,947 visitors online. Employee benefits according to instruction 12.1.1 3. They stay longer, are more committed and more likely to see themselves as ambassadors for your employer brand. Here you will find - who is employed or affiliated with us - information and routines regarding common personnel-related issues at CLINTEC. Welcome to your benefits portal! employee benefits, which are stated in the instruction. Today, they can take out mortgages at 0.04 percent interest. The tasks only included telephone sales, which meant that I lacked more customer contact. Today, Söderberg & Partners launches a third sustainability report, this time to demonstrate what funds' sustainability work looks like. Holiday work gives you a chance to earn your own money, at the same time as you gain valuable experience for the future. Generous staff prices, a healthy lifestyle and safe conditions. The bank has employee benefits that employees can take advantage of. Here you will find vacancies in the Danske Bank Group. Mercer has extensive experience in designing employee benefits from a strategic perspective. Healthy and able to work… then get a responsibility like this management of ours. Employee benefits Competitive employee benefits. But the benefit taxation means that it is not quite as good as it first seems. Good and innovative company that I would really recommend working in. Customer in focus is always a matter of course. Year 9 is prioritized. Prerequisites for getting holiday work is that you have applied on time, are registered in the municipality. 6.4 Contractual pension Pension benefits are paid in accordance with law and agreements. If something is to change, you must notify us as soon as possible. If your employer pays a private cost of living for you, it is a benefit and you must pay tax on the benefit. E-mail: info@itmediagroup.se Demolish the pyramids! is a book for anyone who is or has a boss. It has been hailed by Bill Clinton and is course literature at Harvard. It has been sold in more than 50 countries and has been called the most important event in Swedish leadership. Benefits. window.SvD.ads.queue.push (function () {Application. Change bank if you want a lower fee. Salary type: Fixed monthly, weekly or hourly salary. WHO ARE YOU? The benefit is normally valued at its market value but in some cases is PayEx is looking for an ambitious Key Account Manager for its sales team. \\ nDo you want to work with an expansive and innovative company in invoice management and financing? • Wellness grants and other employee benefits • Insurance • Market salary • Career and development We are constantly looking for new colleagues who work in accordance with our values business focus, commitment, joy and responsibility. As a member of the City Association, you become part of a strong community and can make your voice heard. This role is incredibly important to us as you play a key role in the profitability of the entire organization. öÉ'¯ù [™ ûóçŸýã´ = û¯ “ïÿõóϾ ± ü Ï? Söderberg & Partners has examined funds from the largest Swedish and most important foreign fund managers. Swedbank is no longer a local bank close to customers. But the benefit taxation means that it is not really as good as it used to be. Those who work at Swedbank get the very best conditions. The more members we become, the greater your opportunities to influence the urban environment as well as the development and activities carried out in the city. Scope / Duration: Full time / Until further notice. The work environment is very friendly cooperative and respectful. ASSEMBLY: SVD. Awesome. Staff / HR at CLINTEC. We offer you both professional and personal development in a stimulating workplace with varying projects and responsibilities. Apply no later than 23 May (4 months 18 days left) Published: 2021-04-19. Hotel staff - 100%. Welcome to us in Mjölby municipality. We offer you a stimulating workplace that provides valuable experience from various projects within fine Tech. Read more about cookies. Swedbank and more Swedish banks. Swedbank is a secure employer with a large and stable organization that provides many development opportunities and good employee benefits. . Swedbank does not discriminate anybody based on gender, age, sexual orientation or sexual identity, ethnicity, religion or. Medvind is an internal system for employees at Ambea. Here you as an employee of Ambea can: log in to Ambea Medvind from a computer; log in to Ambea Medvind from a mobile phone When you sign up for the e-salary specification, you will receive your salary specification directly to the Internet bank the next time you receive a salary. Today, they can take out mortgages at 0.04 percent interest. IT MEDIA GROUP AB. Holiday work gives you the chance to earn your own money, while gaining valuable experience for the future. HOLIDAY WORK The municipality of Älvsbyn offers young people who have graduated from compulsory school year 9 and year one in upper secondary school the opportunity to get holiday work during the summer. Development, Community, Education, Loyalty. Good benefits, good development opportunities. All banks have staff terms on mortgages. This is a job for people who want to keep track and want to do the right thing for themselves. Nordea and Swedbank are clearly the most expensive with their "package solutions" which you charge SEK 39 / month (SEK 468 / year) for if you are not a benefit customer. Trygghetsförvaltning has changed its name to Proaktiv Förvaltning. The company has good employee benefits in the form of wellness, bonus programs and subsidized lunch. . For an attractive city center. As an employee of SEB, you have access to a number of benefits,. At Swedish Hydro Solutions AB, we work actively to achieve a more even gender distribution. Our Design Hub is located in the heart of Swedbank's modern head office. Swedbank is an inclusive employer and does not discriminate against anyone on the basis of gender, age, sexual orientation or sexual identity,. Phone: +46 8 501 370 53.. Via Benify, you get access to benefits and much more that is linked to your employment. Reviews from employees at Swedbank in Stockholm on Salary and benefits Get weekly updates on new jobs and reviews for this company, Most useful review selected by Indeed. You also get a mentor and access to our range of employee benefits. ACCOUNTING Menu Toggle. These are stated in the bank's established employee benefits, where it is also stated any criteria for issuing the benefit. Phone: +46 8 501 370 53. Also dismantles staff benefits; Do you want to get a really low mortgage rate? Good Employer, with great knowledge and people who support each other. What kind of questions were asked during your interview at Swedbank? On a regular day, it is full of customers and varying tasks. We use cookies for swedbank.se and the internet bank to function in a good way. With personnel loans, super interest rates are offered to all bank employees. Sage Pastel Partner Which employee benefits are calm to take on the company and which are okay, but do you mean tax? For the right person, good development opportunities are offered. The analysis shows that several companies have made major improvements in their sustainability work and that some are still at the top. At Swedbank, there is security and the opportunity to try new things in a stable environment with development opportunities and good employee benefits. Mercer helps HR to keep track of all changes while the company can focus on its strategic direction. In your role as WFM Coordinator, you will be responsible for forecasting, staffing planning and scheduling. Engage employees anywhere, anytime. Our community is ready to respond. Like most other companies, we have employee benefits. Welcome to Helsingborg City. Phone: +46 8 501 370 53. Subscription for companies and organizations, Subscription matters and e-mail to customer service. HOME; SOLUTIONS Menu Toggle. Work at a bank. Swedbank is a secure employer with a large and stable organization that provides many development opportunities and good employee benefits. We offer you a stimulating workplace that provides valuable experience from various projects in fintech. Contractual pension. Work at a bank. Now our customer E.ON in Sollefteå needs reinforcement and we are looking for you who want to work with selling customer advice. . }); Do you want to get a really low mortgage rate? ePassi acquires two key players and consolidates its position as a leader in the Nordic region in employee benefits with 1.5 million users. At Swedbank, there is the opportunity to try new things in a stable environment with development opportunities and good employee benefits. Skandia in Stockholm is looking for Android developers - Tng Group AB - Stockholm Handelsbanken in Stockholm is looking for .NET developers - Tng Group AB - Stockholm It is probably more liked by the stock market than by some customers and employees. Söderberg & Partners' funds have changed their name. Svea Bank is completely free, then you get both internet banking, a Mastercard and for some time now they also offer Swish. Söderberg & Partners is now joining as a new investor and partner in the company Personnel Cycles, which is described as one of Sweden's leading players in employee benefit cycles. The bank has employee benefits that employees can take advantage of. Meal benefit, wellness supplement, free access to coffee / tea and fruit and bread. Swedbank as a whole is a good and secure employer. STIHL launches the new generation of iMOW and guides in the choice of robotic lawnmowers. Year 9 is prioritized. Prerequisites for getting holiday work is that you have applied on time, are registered in the municipality. 900 employees, we are now looking for a Work Force Management Coordinator, WFM. E-mail: info@itmediagroup.se We want you. Clearing number for Handelsbanken, Nordea, SEB, Swedbank and more Swedish banks Clearing number is the number that identifies the bank and the branch to which an account belongs. 5. The questions can be about invoices, description of different forms of agreement, information about the work on the electricity network, investigation of complaints from. A lot of paperwork, planning and similar tasks. Job advertisement: Swedbank Digital Banking is looking for a UX designer with knowledge of UX, Invision, Fintech (Stockholm) Webbjobb.io uses cookies to help us make the website better. Companies must be listed. Discover the market's leading platform for benefits, compensation and communication. Camping Sölvesborg Sweden Rock , Depreciation Tenancy , Admentum Login Prolympia , Johan Forssell Moderaterna , Hormonplitor Baby 5 Weeks , Behavioral Science, Komvux ,
YuZhang-SMU / Cancer Prognosis AnalysisThe ‘Cancer-Prognosis-Analysis’ aims to provide prognosis-related codes for further studies. ALL of them are used just for research, but not for commerce. And the web is updating consistently. If you have any questions, do not hesitate to contact us! (E-mail: jonnyning@foxmail.com, Zhenyuan Ning; or yuzhang@smu.edu.cn, Yu Zhang)
Vipin-Singh-Negi / Identify Phishing MailThis research project throws light on important features to look for while detecting phishing mail and also presents a comparative analysis of various algorithms to identify phishing mail by using mail features and URL features.
Hamed233 / Sherlock Mail AI Powered Email IntelligenceSherlock Mail is a sophisticated email intelligence tool that leverages artificial intelligence and machine learning to provide comprehensive insights about email addresses. It combines OSINT techniques with advanced AI analysis to deliver detailed reports about email patterns, social media presence, security risks, and professional scoring.
shwe24 / Aspect Based Sentiment ClassificationAspect Based Sentiment Analysis identifies the aspect terms and the sentiment polarity associated with each aspect term in the given review. In real-time, a business can be improved with the customer feedbacks about the features in the product like “The only thing I don't understand is that the resolution of the screen isn't high enough for some pages, such as Yahoo! Mail” based on these reviews the company can get the pitfall in the product which can be fixed for more profit.
angryducks / Speech BoxFlask web app which provide speech to text, sentiment analysis and recording keyword extraction with mail aggregation
GhostFlying / PortalWaitingListA simple app to read and analysis your ingress related mails.
