ChatPdf — AI Chatbot for PDF Question Answering
AI-powered chatbot that answers questions from PDF documents using llms and a Next.js dashboard.
Project Overview
ChatPdf is an AI-driven chatbot application that allows users to upload PDF documents and ask questions about their content. The system uses llms for natural language understanding, a node backend for processing, and a Nextjs dashboard for interactive data visualization of insights extracted from the PDFs.
The Challenge
The student needed to build a technically impressive AI project that also had a polished frontend for their viva presentation. The project had to demonstrate both ML expertise and modern web development skills.
Using prebuild llms for question-answering tasks on custom PDF
Building a dashboard to visualize insights extracted from PDFs
Implementing secure user authentication and file handling for uploads
Integrating models for accurate information retrieval from documents
Docker-based deployment for reproducible environments
Our Solution
We developed a full-stack solution that combined llm model for PDF question-answering with a sleek Next.js dashboard for visualizing insights, all while ensuring the student had comprehensive documentation to confidently defend their project.
Memory-Enhanced LLM Architecture
fine-tuned LLM for PDF question-answering, with a custom context memory layer to handle multi-turn conversations and maintain state across interactions.
Secure PDF Handling & Authentication
Secure handling of PDF uploads with user authentication and file validation. Implemented Clerk for secure authentication and session management.
Interactive Dashboard
Next.js dashboard with dynamic data visualization of insights extracted from PDFs, and summary sections.
Comprehensive Documentation & Deployment
Complete SRS documentation with UML diagrams, API docs, and a Docker-based deployment setup for easy local testing and demonstration during viva.
Visual Walkthrough
Project Impact
Tech Stack
Complete Deliverables
Every project includes production-ready code, comprehensive documentation, and presentation materials — everything needed for a successful submission.
“They delivered a fully working AI chatbot with a Next.js dashboard. The SRS documentation was so detailed that my supervisor had no questions during the viva. I got an A without any revisions.”
Fatima Noor
GC University Faisalabad
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