Project Introduction

Every year during freshman orientation, the academic affairs office gets flooded with repetitive questions — “How do I use the course selection system?” “What’s the credit transfer process?” “When’s the deadline for minor applications?” The answers are all buried in dozens of PDFs and web pages scattered across the campus network, and students simply can’t find them.

This project builds a RAG (Retrieval-Augmented Generation) powered Q&A bot that ingests all those scattered academic documents and feeds them to an LLM. Students ask questions in natural language and get accurate answers with source citations.