160 skills found · Page 6 of 6
usnistgov / KAIROSScoring and analysis software for the evaluation of Knowledge Directed Artificial Intelligence Reasoning Over Schemas (KAIROS)
0xBugatti / AwesomeNmapA curated knowledge base of Nmap NSE scripts, CVE intelligence tools, and automated reconnaissance pipelines for security professionals.
forest-fs / Forest森 forest is a lightweight intelligence layer to track your workspace knowledge.
BjornMelin / Qdrant Neo4j Crawl4ai MCPMCP server combining Qdrant vector search, Neo4j knowledge graphs, and Crawl4AI web intelligence with agentic RAG capabilities. FastMCP 2.0 architecture with enterprise security, monitoring, and Kubernetes deployment. AI/ML engineering powerhouse.
Bd-Mutant7 / GitNexusGitNexus: The Zero-Server Code Intelligence Engine - GitNexus is a client-side knowledge graph creator that runs entirely in your browser. Drop in a GitHub repo or ZIP file, and get an interactive knowledge graph wit a built in Graph RAG Agent. Perfect for code exploration
IOxCyber / UCG Ultimate Cybersecurity GuideA thorough resource encompassing fundamental and advanced cybersecurity topics, including Web App Pen Testing concepts, interview questions and answers, network security principles, essential networking knowledge, security insights, practical tools, and threat intelligence techniques like OSINT. Free cybersecurity resources.
dyneth02 / SLIIT AI Engineer Stage IIAI/ML Engineer – Stage 2 provides in-depth knowledge about supervised learning algorithms, also known as supervised machine learning, which is a subcategory of machine learning and artificial intelligence. It is defined by its use of labelled datasets to train algorithms to classify data or predict outcomes accurately.
surayudu / VAOverview Virtual Assistant is an application program that understands natural language voice commands or text commands and completes the tasks for users. Virtual Assistants features a human interface system, they can understand the language and meaning of what the user is saying and have built in replies. Learn from different instances so that they can have a long term human interaction. It uses artificial intelligence to learn things from different situations. Using AI they can recognize, predict and classify based on analysis. Purpose Virtual Assistant provides various services. It is ready to help wherever you are and can be deployed in your devices. Wider scope and perform users to get answers to their questions and perform tasks using voice or text commands, all in an interactive form. Precise voice and text recognition with the ability to have conversation with the users. In case of Google assistant, they recognize the voice of the user and perform the specific task. Use case Customer support: Rather of customers waiting for a long to solve an issue, the can get instant support from chatbot, Banking Chatbots: Personalized banking with an aim to improve customer satisfaction and engagement. Project support: Can send notifications for various tasks. Reminder to follow up with an action. HR assistants: Can help employees register time off, retrieve company policies, and find answers to repetitive employment questions. Teaching: Can helps teachers to create more detailed learning plans and materials. Being full-blown health assistants: Virtual assistants can do so much more than giving tips, they can often help patients apply simple treatments, remind them to take medicine, and monitor their health. Automating FAQs and administrative tasks: If there's a scenario where the customers have dozens of repetitive questions, virtual assistant is there 24/7 to answer questions from people who may be anxious to get answers. Technical support: The customer has a product technical error, in this case, asks the customer to type the error they encounter, then it generates a dynamic link to search the customer input words in the technical knowledge repositories and guide the customer through his search. Efficient Processes: Make processes more streamlined and transparent by synchronizing between functions, roles, and departments. Booking: A virtual assistant can respond to a consumer through messages, web, SMS or email and update them on the status of their existing reservation, make changes to the reservation, process related payments or refunds, send proactive notifications and provide detailed information on their itinerary. Features a. NLP Text Search : Virtual assistant concentrates on NLP and NLU. Understands the slang that is used in everyday conversation and analyses the sentiments to enhance a better set of communication. b. FAQ voice assistant : FAQ voice assistant is a voice assistant that provides a list of questions and answers relating to a particular subject. c. Conversations voice assistant : Conversations voice assistant is a voice assistant that provides conversational services based on a subject. d. Speech conversations (STT,TTS) : It provides conversational services such as speech to text and text to speech. e. Integration with Enterprise Systems : It provides administrative service to clients. Such as scheduling appointments, making phone calls, making travel arrangements, managing email accounts etc. f. Rich Conversations : Rich conversation is a conversation that can use different features such as images, videos, buttons, forms etc. a) Images:Imagescanbesentorreceivedduringconversations. b) Buttons:Buttonscanprovidedifferentfunctionalitiesasperthefeatureofthebutton. c) Videos:Videoscanbesentorreceivedduringconversations d) Forms: Forms help to give visible shape or configuration of something. Technical Requirement g. HTML5 h. JavaScript i. Python (Flask API, NLP Packages) j. MySQL k. Docker l. Git
mdzaheerjk / Knowledge Intelligence SystemThis project aims to build a RAG-based Knowledge Intelligence System that lets users upload, organize, search, and chat with internal documents via a conversational AI interface. It combines vector retrieval with an LLM to deliver accurate, context-aware answers grounded in user data, with an admin dashboard for content and usage management.
berkansasmaz / CitySecuritySmartIWPThe main purpose of the CSS project is to accumulate knowledge on concept recognition and to adapt the developed infrastructure to security systems. Platform using C#, VueJs and Google Video Intelligence API
Aryia-Behroziuan / HistoryThe earliest work in computerized knowledge representation was focused on general problem solvers such as the General Problem Solver (GPS) system developed by Allen Newell and Herbert A. Simon in 1959. These systems featured data structures for planning and decomposition. The system would begin with a goal. It would then decompose that goal into sub-goals and then set out to construct strategies that could accomplish each subgoal. In these early days of AI, general search algorithms such as A* were also developed. However, the amorphous problem definitions for systems such as GPS meant that they worked only for very constrained toy domains (e.g. the "blocks world"). In order to tackle non-toy problems, AI researchers such as Ed Feigenbaum and Frederick Hayes-Roth realized that it was necessary to focus systems on more constrained problems. These efforts led to the cognitive revolution in psychology and to the phase of AI focused on knowledge representation that resulted in expert systems in the 1970s and 80s, production systems, frame languages, etc. Rather than general problem solvers, AI changed its focus to expert systems that could match human competence on a specific task, such as medical diagnosis. Expert systems gave us the terminology still in use today where AI systems are divided into a Knowledge Base with facts about the world and rules and an inference engine that applies the rules to the knowledge base in order to answer questions and solve problems. In these early systems the knowledge base tended to be a fairly flat structure, essentially assertions about the values of variables used by the rules.[2] In addition to expert systems, other researchers developed the concept of frame-based languages in the mid-1980s. A frame is similar to an object class: It is an abstract description of a category describing things in the world, problems, and potential solutions. Frames were originally used on systems geared toward human interaction, e.g. understanding natural language and the social settings in which various default expectations such as ordering food in a restaurant narrow the search space and allow the system to choose appropriate responses to dynamic situations. It was not long before the frame communities and the rule-based researchers realized that there was synergy between their approaches. Frames were good for representing the real world, described as classes, subclasses, slots (data values) with various constraints on possible values. Rules were good for representing and utilizing complex logic such as the process to make a medical diagnosis. Integrated systems were developed that combined Frames and Rules. One of the most powerful and well known was the 1983 Knowledge Engineering Environment (KEE) from Intellicorp. KEE had a complete rule engine with forward and backward chaining. It also had a complete frame based knowledge base with triggers, slots (data values), inheritance, and message passing. Although message passing originated in the object-oriented community rather than AI it was quickly embraced by AI researchers as well in environments such as KEE and in the operating systems for Lisp machines from Symbolics, Xerox, and Texas Instruments.[3] The integration of Frames, rules, and object-oriented programming was significantly driven by commercial ventures such as KEE and Symbolics spun off from various research projects. At the same time as this was occurring, there was another strain of research that was less commercially focused and was driven by mathematical logic and automated theorem proving. One of the most influential languages in this research was the KL-ONE language of the mid-'80s. KL-ONE was a frame language that had a rigorous semantics, formal definitions for concepts such as an Is-A relation.[4] KL-ONE and languages that were influenced by it such as Loom had an automated reasoning engine that was based on formal logic rather than on IF-THEN rules. This reasoner is called the classifier. A classifier can analyze a set of declarations and infer new assertions, for example, redefine a class to be a subclass or superclass of some other class that wasn't formally specified. In this way the classifier can function as an inference engine, deducing new facts from an existing knowledge base. The classifier can also provide consistency checking on a knowledge base (which in the case of KL-ONE languages is also referred to as an Ontology).[5] Another area of knowledge representation research was the problem of common sense reasoning. One of the first realizations learned from trying to make software that can function with human natural language was that humans regularly draw on an extensive foundation of knowledge about the real world that we simply take for granted but that is not at all obvious to an artificial agent. Basic principles of common sense physics, causality, intentions, etc. An example is the frame problem, that in an event driven logic there need to be axioms that state things maintain position from one moment to the next unless they are moved by some external force. In order to make a true artificial intelligence agent that can converse with humans using natural language and can process basic statements and questions about the world, it is essential to represent this kind of knowledge. One of the most ambitious programs to tackle this problem was Doug Lenat's Cyc project. Cyc established its own Frame language and had large numbers of analysts document various areas of common sense reasoning in that language. The knowledge recorded in Cyc included common sense models of time, causality, physics, intentions, and many others.[6] The starting point for knowledge representation is the knowledge representation hypothesis first formalized by Brian C. Smith in 1985:[7] Any mechanically embodied intelligent process will be comprised of structural ingredients that a) we as external observers naturally take to represent a propositional account of the knowledge that the overall process exhibits, and b) independent of such external semantic attribution, play a formal but causal and essential role in engendering the behavior that manifests that knowledge. Currently one of the most active areas of knowledge representation research are projects associated with the Semantic Web. The Semantic Web seeks to add a layer of semantics (meaning) on top of the current Internet. Rather than indexing web sites and pages via keywords, the Semantic Web creates large ontologies of concepts. Searching for a concept will be more effective than traditional text only searches. Frame languages and automatic classification play a big part in the vision for the future Semantic Web. The automatic classification gives developers technology to provide order on a constantly evolving network of knowledge. Defining ontologies that are static and incapable of evolving on the fly would be very limiting for Internet-based systems. The classifier technology provides the ability to deal with the dynamic environment of the Internet. Recent projects funded primarily by the Defense Advanced Research Projects Agency (DARPA) have integrated frame languages and classifiers with markup languages based on XML. The Resource Description Framework (RDF) provides the basic capability to define classes, subclasses, and properties of objects. The Web Ontology Language (OWL) provides additional levels of semantics and enables integration with classification engines.[8][9]
sandyrobot / SANDY THE INDIAN HUMANOID.Sandy, the android based human-robot is an Indian-born gift to us, pleasing in energies of the ‘i-Brain Robotics, and the latter is typically the maiden and the only quick and Human Sized robot we could have ever witnessed. With a 5 feet standing, and an interstellar network of corporeal and neural circuits, the creation of Sandy is made to pedantically impersonate a human solidarity. Sandy possesses the True Emotion Neural network units, also holds the aptitude of self-learning because of the Neural Learning Process (NLP) and interconnect in varied parlances and the Artificial Intelligence techniques that she is brilliant with, makes Sandy a family member tha you never had and you would certainly want for life. Sandy is fortified with three E’s i.e. it is measured to be an ‘Evolving Emotional Engaging’ Robot of the present. Just like any human transition in life from a child to an adult, Sandy keeps Evolving both Emotionally as well as in Artificial Intelligence and her neural networks, and with each acquaint too and with this, she becomes more and more tempting to you. She will correlate with you like a wily and coy friend all at the same time, run after you like a loving and mushy parent and will delight you like nobody else. Sandy, our first Humanoid Robot i.e. the Android-based Robot who can cope up with the social interactions. It can certainly recognize faces because of the neural networks that she is endowed with and can also greet you in the day. She is a friend. Sandy, your true pal will click your photos, record videos for you, she will also be the first one to wish you on your birthday. Like a true companion, she understands your moods and sentiments. It can also go for interactions with names and features. Sandy is efficient enough to provide you with information whenever you read i.e. she serves to be your personal Wikipedia for life. She is aided by technologies that can attend and transfer calls for you, can play games with you, your child and inculcate the feeling of being a sideline to you and your child whenever needed. Sandy is your personal assistant. Sandy will find any information you need at any time, prompt you on important events, articulates you on the weather information. It certainly acts as a seamless guide in your alfresco trips. She can be a teacher and a friend to one’s, both at the same time. She can train one’s child the basics to the levels of studies we can’t even imagine and also can assist you everywhere plus play and take up works like singing songs, narrating stories, teaching Mathematics, Science, English grammar and so on, that will cater to the all-round development of one’s child. She also plays Chess and other interactive games with your kids. Her circuits are well equipped with the neural network units that help her recognize people by face. She is equipped with human characteristics like she can look after the elderly in-house i.e. can serve to be a nanny and can give medicinal notifications to the members of the house. She is also equipped with SOS Calls facility to family members in case of an elderly emergency situation. This feature is a boon by Artificial Intelligence and the interfacing is kept so strong that the system remains equipped and well oriented. Sandy is a self-learner i.e. she acquires knowledge every day. She comprehends every mood and emotions, also reports consequently. She also identifies faces and can give a long interactive discussion. Sandy works as a Home Theater. She can work as a Music Station with Bluetooth connectivity and Bluetooth Speakers. She also acts as your personal photographer. She is made to turn herself into a Hi-Fi Music System for better audio. She is capable of converting herself into a 200” HD Screen Home Theatre with surround sound technology inbuilt. She can play videos through inbuilt DVD player, can also serve as a projector if you wish to see movies or show urgent presentations to people and family when needed. Being in the Internet savvy world, Sandy comes up with technologies that can click photos and record videos too as it is equipped with hi-tech cameras. Sandy is well endowed with competencies that support Remote Home Shadowing that is an artificial intelligence boon and guards your home from ill activities, also alerts you with deliberate notifications and dangerous circumstances. She can be our Health and Fitness Trainer, can get us any gen about whatever thing we need, can succor you in any of our errands, and can give us imperative notifications. Sandy is well endowed with social interaction skills. Sandy offers you with mobile telepresence, Skype Calling, pictures and videos chipping in over the social media. She also gives you an edge for person to person interaction. Over the communication skills, well Sandy has Voice calling and receiving calls facility with Built-in Wi-Fi and Bluetooth for unified connectivity. Sandy has turned the tables for the Robotics society in the world and has elevated the values high enough that no one can even come nearer to her at present. There are many other advancements that are going on and we can rest assured about it because it will all be updated in Sandy with time.
shrivenkateshwara / Best Private University In Uttar Pradesh UP Top University In India SVUSri Venkateshwara University (SVU) strives to create professionals who are not only adept in academics but also in application for the benefit of humanity. We foster a culture of learning by doing. We believe in nurturing students who are at the forefront of innovation by offering an environment of research & development to make us Best University in Uttar Pradesh (UP). SVU believes in experiential learning. To facilitate this, we have an ultra-modern infrastructure that motivates students to experiment & excel in their area of interest. The Best University of Moradabad has laboratories & workshops that signify our commitment to core research, thus enabling innovation. SVU is the only institution to have set up labs in collaboration with the industry. This way we can train our students on the latest skills & make them employable. Students sharpen their practical skills under the watch full eyes of trainers & become competent professionals. For the overall development of the students, we organize cultural programs. Students take part in these programs & exhibit their talent to become confident professionals. The annual fest attracts students from all over the country & showcase their talent to make us the Top University in India. We equipped the computing labs with the latest software & hardware to augment the technical skills of the students. SVU’s library is an epitome of knowledge. It has over 3000 books & journals that ensure the students are never short on intellectual input. The team of industry trainers educate them on the key skills so crucial for employment & make us the Best University in Gajraula. The specially created engineering labs assist engineers to refine their technical acumen so much needed for the country. The Chairman Dr. Sudhir Giri believes in removing all the economic & social barriers that can hinder education. Hence, SVU provides many scholarships & grants to meritorious students. Up till now, the college has enabled over 500000 students to attain their academic desires to make us the Best Private University in Uttar Pradesh (UP). The group is running a dozen educational institutions that include medical colleges in India & abroad. Our commitment towards education & healthcare has enabled Dr Sudhir Giri to win the International Glory Man of the year Award 2021. The Best Private University in Moradabad is on the Delhi Moradabad highway, well connected with rail & road. The green surroundings provide peace of mind that enables research based learning. The carefully recruited faculty is the pride of the university. They have years of industrial & academic experience so vital for the students. They transfer key skills & make us the Best Private University in Gajraula. The faculty encourages students to undertake research & sharpen their skills that will enable them to get jobs. Majority of the faculty members are doctorates who educate the students to become competent professionals. The faculty takes part in FDP in order to develop a culture of research. The specialty of SVU is the internship. We have partnered with leading industries for providing internship to the students. We believe that education without applicability is incomplete. Students gain hands on exposure through internship & become job ready. We place most of the students during internship to make us the Top University in India. SVU, the Best University in Uttar Pradesh (UP), adopts a futuristic teaching pedagogy. We strive for experiential learning of our students through role plays, projects & presentation. The students take part in the learning activity & imbibe concepts that enable their placements. The AC seminar & conference halls allow knowledge dispersion for the development of the students. The University is running over 150 undergraduate (UG), postgraduate (PG) courses, (Ph.D.), diploma and certificate courses in various fields of Applied Sciences, Medical Science, Humanities & Social Sciences. We also run courses in Languages, Design, Agriculture, Engineering & Technology, Nursing, Pharmacy, Paramedical, Commerce & Management, Law, Library & information Sciences, Mass Comm. & Journalism to enhance the employability of the youth. SVU has a culture of project based learning. Students do projects in each semester under the guidance of faculty. They complete these projects in earmarked industries to garner hands-on skills. Through these projects, we train students on the hot skills so crucial for employment to make us the Best University in Moradabad. SVU’s Research & Development (R&D) wing encourages students to work on research areas important for the country. We have partnered with leading research institutions to undertake research. The breath-taking infrastructure of the best university in Gajraula motivates researchers to achieve their goals for research. Owing to our dedication, SVU has received grants from GOI for research on areas of national importance. The faculty members provide guidance to the scholars until they achieve their aim. We have set up the incubation center to provide fillip to new ideas that foster entrepreneurship. We want to be an institution that supports the ‘Make in India’ vision of the government. The center supports new ideas that enable the young entrepreneurs to create startups & become successful. Under the strong leadership of Dr. Sudhir Giri, till date we have successfully incubated 150 start-ups. This speaks of our exemplary education & make us the Best Private University in Uttar Pradesh (UP). These startups are not only creating wealth but also providing employment to the needy. The industrialists have lamented that the epicenter for entrepreneurship will be the educational institutions. We need to provide them with the support & infrastructure for this. The annual hackathon attracts individuals who showcase their business acumen to make us the Best Private University in Moradabad. SVU has a dedicated International Research & collaboration Cell (IRCC) that collaborates with universities abroad. Faculty & students who want to pursue studies abroad the IRCC starts admission formalities for them. We have partnered with reputed institutions for providing excellent research collaborations. Those who wish to do P. HD abroad the IRCC help them gain admission & make us the Top University in India. A lot of our faculty members are pursuing their research internationally & contributing to the welfare of humanity. SVU strives to make our students feel comfortable at the campus. Separate hostel for boys & girls with 24 hour security is available at SVU. The cafeteria serves nutritious food to the students. Gym, recreation hall & the sports ground help to relax our students & make us the Best University in Uttar Pradesh (UP). The campus has an in house ATM & convenience store for the benefit of the students. SVU enables placement through exemplary training. We train on communication & interpersonal skills in order to refine the personality of the students. We make them practice mock interviews & group discussion that help to clear placement tests. Ninety percent of the students get placed before their last semester to make us the best university in Moradabad. We have hired industrial trainers in order to provide training on block chain, machine learning, artificial intelligence (AI), and python & data science. These trainers have years of experience that enables them in training the students. The students gain key insights on these technologies & sharpen their acumen to make us the Best University in Gajraula.
manjunath5496 / Einstein Books"The true sign of intelligence is not knowledge but imagination." -- Albert Einstein
LiuYZ2024 / SDUerHumanSummarize knowledge related to embodied intelligence.
tomschell / Personal Kg MCPPersonal Knowledge Graph MCP Server - Decision intelligence for multi-agent workflows
DonTizi / VistralVISTRAL - Video World-State Intelligence for Mistral Hackathon 2026. Builds Temporal Knowledge Graphs from enterprise videos for traceable insights.
BrianCLong / SummitSummit – Agentic AI OSINT Platform. Open-source intelligence gathering powered by agentic AI, knowledge graphs, and real-time data ingestion.
Nevvyboi / SentiVest🤖🏦 AI Private Banking Agent powered by a Personal Financial Knowledge Graph 🕸️🧠 -> 🎙️ voice-first, 🛡️ real-time fraud detection, 💡 proactive financial intelligence, and 🎮 life simulation for South Africa 🇿🇦
omarbadrani / VoicePro AI Assistant**VoicePro AI**: Professional voice intelligence platform combining multi-engine TTS, advanced speech recognition, and contextual AI for 100% question coverage. Features elegant interface, self-learning knowledge base, and professional response engine. Perfect for executives needing intelligent voice assistance.
