Md-Emon-Hasan/MediGenius
Advanced multi-agent Medical AI Assistant powered by LangGraph that delivers empathetic, doctor-like responses using a hybrid pipeline of LLM reasoning, RAG from medical PDFs, and intelligent fallback tools. Features Long-term memory with SQLite, dynamic tool routing, and state reasoning for reliable, context-aware consultation.
Implements a specialized five-agent orchestration (Planner, Retriever, Answer Generator, Tool Router, Fallback Handler) via LangGraph that achieves 90%+ factual accuracy and sub-7.3s response times by combining medical RAG from ChromaDB with fallback web searches (Wikipedia, DuckDuckGo) for edge cases. The stack integrates FastAPI backend with React 19 + Vite frontend, SQLite long-term memory for persistent conversation context, and Docker containerization with CI/CD automation for production healthcare deployments.
Stars
16
Forks
4
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Feb 28, 2026
Commits (30d)
0
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