Intelligent PDF Reader | AI-Powered Document Q&A Developed a full-stack AI application that enables users to have intelligent conversations with any PDF document using Retrieval-Augmented Generation (RAG). ▸ Implemented RAG pipeline using LangChain and ChromaDB to retrieve contextually relevant document chunks ▸ Integrated Groq's Llama 3.3 70B model for fast, accurate response generation ▸ Built secure user authentication and persistent chat history using Supabase ▸ Designed intuitive chat interface with session management, archive, and PDF export features ▸ Deployed backend on Hugging Face Spaces and frontend on Vercel Tech Stack Python | FastAPI | React | Vite | LangChain | ChromaDB | Groq AI | Supabase | Docker | Vercel 💻 GitHub: https://github.com/aryasinha09/Intelligent-PDF-Reader