May 16
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Medical AI Assistant – Full Stack AI Healthcare System This project presents a Retrieval-Augmented Generation (RAG) based Medical AI Assistant designed to provide accurate, reliable, and explainable healthcare information. Unlike traditional AI chatbots, our system retrieves knowledge from structured medical datasets instead of generating uncertain answers, ensuring higher trust and accuracy. Key Features • 🔍 Hybrid RAG Retrieval (FAISS + BM25) • 🧠 Cross-Encoder Reranking for high accuracy • 🤖 Multi-Agent Architecture (Retrieval, Tool, Response agents) • 💊 Drug Interaction Checker • 📊 Health Risk Prediction & Analytics • 🚨 Real-Time Alert System • 🔐 User Authentication (Supabase) • 💬 Persistent Chat History • 🌐 Full-Stack System (React + FastAPI) Tech Stack • Frontend: React.js • Backend: FastAPI • Database & Auth: Supabase • AI Models: Sentence Transformers, Cross-Encoder • Vector DB: FAISS • Retrieval: BM25 + Semantic Search System Capabilities • Answers queries related to: o Diseases (symptoms, treatment) o Drugs (side effects, interactions) o Nutrition o Medical guidelines • Provides structured and source-grounded responses • Performs health risk analysis based on user inputs Project Objective To build a reliable and explainable AI healthcare assistant that minimizes hallucination and provides accurate, dataset-backed responses using advanced retrieval techniques. Demo Highlights • Chat-based medical query system • Real-time AI responses with structured output • Health prediction and alert generation • User login and saved chat history Future Scope • Advanced ML-based predictive analytics • Real-time IoT health monitoring integration • Deployment at scale for clinical assistance Team Project Developed as part of an AI/ML and Full-Stack system project, focusing on real-world healthcare applications. ⭐ If you found this project interesting, don’t forget to like, share, and subscribe! #AI #HealthcareAI #RAG #MachineLearning #FullStack #FastAPI #React #Supabase #FAISS Contact me: LinkedIn: https://www.linkedin.com/in/avishkarmore/ Repo Link: https://github.com/Avi007-debug/Team_Agent_Wars_Healthcare-Monitoring-AI-Agent