01
The Problem
Academic advising is generic, overloaded, and rarely accounts for a student's actual goals or transcript when recommending courses. Students make semester decisions with poor information.
02
What It Does
A conversational AI that ingests student transcripts, parses goal statements, and uses RAG over a course catalog to surface personalized recommendations with clear reasoning behind each suggestion.
03
Why I Built This
I watched friends make semester decisions without good information and end up in the wrong courses. I wanted to build an advisor that actually reads your data before telling you what to do.