This project aims to create an LLM chatbot advisor based on official Purdue information.
Objectives
- Train a valid local LLM that can answer basic user queries without relying on RAG, in a format aligned with human preferences
- Optimize RAG pipeline speed, and lower RAG costs where possible
- Optimize the web UI and make the site more professional
- Train a graph tool for course planning that picks the shortest path to graduation given a student’s current classes