abelmou/Healthcare-Assistant

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. # RAG-Powered Healthcare Assistant An AI-driven healthcare assistant that utilizes Retrieval-Augmented Generation (RAG) with multilingual support in Darija, Arabic, and English to offer personalized health management. The app helps users with prescription scanning, health queries, multilingual support, and pharmacy locator. - Watch the video demo of our app video-demo. ## Background and Problem Statement Managing healthcare information effectively remains a challenge in today's world. Common issues include: - Fragmented medical records - Difficulty in obtaining personalized medical advice - Language barriers in healthcare communication - Difficulty locating nearby healthcare providers ## Impact and Proposed Solution The **RAG-Powered Healthcare Assistant** aims to solve these challenges by: - Centralizing personal health records for easy access - Leveraging RAG to provide intelligent, context-aware responses to health queries - Enabling Prescription OCR for easy scanning and processing of prescriptions - Offering multilingual support (Darija, Arabic, English) for diverse users - Incorporating a Pharmacy Locator with geolocation to help users find nearby pharmacies and healthcare providers ## Project Outcomes and Deliverables This project delivers: - A fully functional AI-powered healthcare assistant - A multilingual chatbot for health queries - An OCR system for prescription scanning and processing - An integrated Pharmacy Locator with real-time geolocation - Secure storage and retrieval of personalized medical records ## Technology Stack - **Frontend**: - Streamlit - Main web interface - Chainlit - Chat interface - **Backend**: - Python 3.9+ - LangChain - For AI/LLM orchestration - ChromaDB - Vector database for document storage - Ollama - Local LLM integration - OpenCV - Image processing - PyPDF & PDFPlumber - PDF processing - Unstructured - Document parsing - ElevenLabs - Text-to-speech capabilities ## Prerequisites Before running the application, …