@murtazabahram249382

HealthAgents AI HealthAgents AI is an intelligent healthcare platform designed to make reliable medical information more accessible through Generative AI. The system combines Retrieval-Augmented Generation (RAG), Google's Gemini model, and Vision Intelligence to provide evidence-based medical assistance while improving the speed and quality of healthcare information retrieval. The platform consists of three specialized AI modules: 💬 Medical Chat Assistant Users can ask healthcare-related questions in natural language. The system retrieves relevant information from a curated medical knowledge base containing more than 39 medical reference documents using FAISS vector search and LangChain before generating accurate responses with Google Gemini. 📄 Medical Report Analyzer Users can upload laboratory reports such as CBC reports, blood tests, and diagnostic reports. The AI extracts key medical findings, summarizes the report, identifies abnormal values, estimates severity, suggests possible medical conditions, and provides evidence-based recommendations. 🖼️ Medical Vision Analyzer Users can upload medical images including skin disease images, X-rays, MRI scans, CT scans, and other clinical images. Vision AI analyzes the uploaded image and generates possible findings, probable conditions, severity estimation, confidence score, and clinical recommendations. Key Features Multi-Agent AI Architecture Medical Question Answering using RAG AI-Powered Medical Report Analysis Vision AI for Medical Image Interpretation FAISS Vector Database LangChain Retrieval Pipeline Google Gemini Integration Modern Streamlit User Interface FastAPI Backend Responsive Dashboard Confidence Scores Clinical Recommendations Medical Knowledge Base (39+ Documents) Technology Stack Python Streamlit FastAPI Google Gemini 2.5 LangChain FAISS PyPDF Pillow HTML/CSS GitHub Impact

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