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.

RAG-Powered Healthcare Assistant is an AI-driven tool using Retrieval-Augmented Generation (RAG) with multilingual support (Darija, Arabic, English) to provide personalized health info. It features Prescription OCR, multilingual queries, and a Pharmacy Locator to offer tailored, accurate healthcare responses and services.

AI Health Navigator is an intelligent web application that helps patients understand their medical lab reports by translating complex medical terminology into simple, easy-to-understand language using artificial intelligence.

This project demonstrates how to build a Flask-based telemedicine/voice assistant service powered by Twilio, Ngrok, and AI agents (Gemini or Groq). It allows you to automatically initiate phone calls, capture speech, and play AI-generated responses.

Diagnose and debug Retrieval Augmented Generation pipelines by analyzing traces to identify and fix issues affecting answer quality and relevance.