PDF Q&A Chatbot with Groq API

Overview: A Python-based chatbot application that allows users to interact with PDF documents using natural language questions. It leverages Groq's LLaMA 3 model to provide intelligent responses based on the content of the PDF.

Extracts complete text and embedded images from any standard PDF file using PyMuPDF.

Generates placeholder captions for embedded images to provide context, although no real image understanding is performed.

Automatically summarizes extracted text and stores the summary in a structured JSON format for further use.

Enables users to ask questions related to the PDF content through a terminal-based chatbot powered by Groq's LLaMA 3 model.

All extracted and summarized content, including simulated image captions, is saved in a pdf_summary.json file for reference.

Provides a simple and user-friendly command-line interface for users to interact with the PDF and receive real-time responses.

Utilizes Groq's API for natural language processing and response generation, enabling high-quality language understanding.

Built using lightweight Python libraries with minimal dependencies for ease of setup and use.