8 skills found
markboard-io / MarkboardWysiwyg markdown whiteboard for note-taking and building team knowledge base.
NazimFilzer / WhiteBoard Collab SHNA Collabration Web-App using Express, React and Socket.io where Mutiple People can Join a Private room and Chat, Draw Among themselves. This project was selected as one of the best project at Tinkerhub Hacknight
shhubhxm / Skin Disease Detection Team TechnophileWe are team technophiles and participated in 48hrs hackathon organized by Nirma University in collabration with Binghamton University. Our Problem Definition : To develop a solution, the first step is to understand the problem. The problem here is to develop an Application Programming Interface which can be easily integrated with Android and IOS to detect the skin disease without any physical interaction with a Dermatologist. The detected skin disease should be sent through whatsapp to a particular patient and doctor. Our college name: Pandit Deendayal Energy University Team Members: Rushabh Thakkar, Divy Patel, Denish Kalariya, Yug Thakkar, and Shubham Vyas. Project Details: We made an application which classifies the skin diseases into these given types healthy, lupus, ringworm and scalp_infections How did we make? The data given was analysed first. We came to conclusion that the data given was not enough so we searched for new datasets. We got these datasets: https://ieee-dataport.org/documents/image-dataset-various-skin-conditions-and-rashes https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/DBW86T We segregated the datasets of harvard. Combined all the datasets and trained the tensorflow image classification model multiple times. Accuracy was not satisfying. Augmented the data to unbaised the model and the dataset would be balanced. Data Augmentation was done on the data given . We generated 800 images per disease. Again we had trained the model. Accuracy was good. Exported the .tflite and label.txt file. We imported the files into android studio We have used three python codes: data_removal.py This code is used to remove data randomly from the folder if there are more number of images than required. We just need to change total_files_req variable in the code to number of files required after deletion. data_augmentation.py This code is used to augment the data randomly from the folder if there are less number of images than required. We just need to change total_files_req variable in the code to number of files required after augmentation. We change various parameters of images like clearity, rotation, brightness, etc. image_classification_code.py This is the main code in which we have trained the model and exported it to run on the app Models we tried: efficientnet-lite0(USED in our project) efficientnet-lite1 efficientnet-lite2 efficientnet-lite3 efficientnet-lite4 API: TensorFlowLite Used Android studio for App development . Used Language = java We sync all the grade files. Changed the model files and update it with the new model Working model file name is model.tflite Tflite classifier working java files are CameraActivity.java CamerConnectionFragment.java ClasssifierActivity.java LegacyCameraConnectionFreagment.java Dataset: Uploaded on Github WORKING MODEL LINK: https://drive.google.com/file/d/1BnqfFInFkJJDkYDlmdj9VB601f7PjTdj/view?usp=sharing
mashood100 / Dart ExtendDart Extend provides a variety of dart methods and classes so you can write better and clean app functionality
sarthak-dhaduk / Virtual Collab StudioVirtual Collab Studio is an online hub for collaborative programming. It enables users to join or create workspaces, write and execute code in a web-based editor, and share or publish code snippets with the community. The platform promotes effortless teamwork and seamless code collaboration.
ikismail / CollabrationBackendSocial Network using AngularJS, SpringMVC and Hibernate
Adarsha16 / CodeRoomAn online compiler with real time collabration feature
roshan-bajgain / Roshan Zhu Chuanqi Collabration ProjectNo description available
