Repositories synced from my GitHub - featured work up top, everything else below. The list refreshes automatically via GitHub Actions when repos change.
github.com/Kaleemullah-Younas· synced Sep 28, 2026Highlighted builds I want people to see first.
TypeScript
Open-source, privacy-first AI screen & meeting copilot a free alternative to Cluely. Features a transparent always-on-top overlay invisible to screen share, real-time screen OCR, audio transcription, and streaming AI responses via OpenRouter (BYOK, 500+ models). Built with Electron + React + TypeScript.
TypeScript
Mail Detective is an AI-powered inbox copilot designed for university students. Every week students receive dozens of emails about scholarships, internships, competitions, and fellowships, most get buried or ignored...
TypeScript
CHAPAL is a cutting-edge AI Safety & Auditing Platform designed to solve the critical challenge of trust in Large Language Models (LLMs). By combining deterministic rule sets with semantic understanding, CHAPAL acts as a firewall between users and AI, ensuring every interaction is safe, accurate, and compliant.
TypeScript
Sehat Guftagu is an AI-powered clinical interview platform designed for healthcare landscape. It conducts medical interviews in Urdu/English, generates SOAP reports, and connects patients with doctors through an intelligent triage system.
HTML
Querywise is a multi-agent Retrieval-Augmented Generation (RAG) system designed to help users query long, complex documents with accurate, fact-verified answers. Unlike traditional chatbots like ChatGPT or DeepSeek, which may hallucinate responses...
Jupyter Notebook
About TrustECG is an interpretable artificial intelligence system designed to assist healthcare professionals in diagnosing multiple cardiac conditions simultaneously from 12-lead ECG recordings.
TypeScript
An AI-powered learning platform that transforms raw information into structured, actionable knowledge.
Jupyter Notebook
HealthChat Pro is an AI-powered medical assistant application that uses large language models to answer health-related questions. The application features a responsive chat interface built with Flask and leverages LangChain for document retrieval and RAG (Retrieval Augmented Generation) capabilities.
Intrusion Detection System (IDS) for Wireless Sensor Networks (WSNs), using a variety of machine learning techniques and data‐driven preprocessing steps to accurately detect different attack types.
Python
Intelligent Document Assistant - User can ask questions from any uploaded document
Python
ANSWERLY is an intelligent, end-to-end LLM-based Question & Answer system specifically designed to revolutionize customer support for e-learning platforms.
LegalEdge is an intelligent legal assistance platform designed to empower law firms and legal professionals with automated contract analysis, risk assessment, and compliance monitoring capabilities. Built on cutting-edge AI technology...
A selection of public repos, sorted by stars and recent activity.
TypeScript
A Model Context Protocol (MCP) server that enables LLMs to interact with Discord channels, allowing them to send and read messages through Discord's API. Using this server, LLMs like Claude can directly interact with Discord channels while maintaining user control and security.
Jupyter Notebook
100 Days of Machine Learning challenge, inspired by CampusX
Python
AI partner for task management, note-taking, motivation, and staying focused. Powered by Gemini and LangChain.
Python
API of facebook fetch subscriber count of public profiles
Python
No description provided.
Jupyter Notebook
No description provided.
No description provided.
TypeScript
No description provided.
TypeScript
VISOR is an AI-powered career tool that helps you understand where you stand skills-wise, how you match up with job listings, and what you should learn next. Upload your resume, paste a job description, and VISOR does the rest.
JavaScript
This project implements a real-time sentiment analysis pipeline for Twitter data using Big Data technologies. The system ingests tweets through Apache Kafka, processes them with PySpark MLlib for sentiment classification, stores results in MongoDB, and visualizes insights through an interactive Django dashboard.
Built a full-stack emotion analysis system that tracks team dynamics and psychological safety in meeting recordings. The app uses Vokaturi voice emotion detection, OpenAI GPT-4 for insights, and K-means clustering to identify team patterns.
Jupyter Notebook
Explore the world of movies with this interactive Movie Recommender System ! Leveraging advanced recommendation algorithms, this application suggests personalized movie recommendations based on user preferences, ensuring an enjoyable and tailored viewing experience.