Intelligent PDF Question Answering System Using Large Language Models

This project is an AI-powered PDF question-answering system built with Flask, Google Gemini, FAISS, and Bootstrap. Users upload PDF documents and ask questions through a responsive chat interface. The system extracts and divides the PDF text into smaller sections, creates semantic embeddings, retrieves the most relevant content using FAISS, and generates context-based answers with Gemini. It also supports conversation history and exporting chats as a PDF.