Isham Rashik

AI-powered YouTube video analysis toolkit using MCP. Extract transcripts, generate knowledge graphs, generate high-quality detailed notes, perform sentiment analysis, and topic modeling through an intuitive Streamlit dashboard.

This project provides service for Named Entity Recognition (NER) specifically tailored for the Electrical Engineering domains. It can be accessed both as a standard RESTful API and as a Model Context Protocol (MCP) service, making it easy to integrate into various workflows.