Inspiration
Students often struggle to find information about courses, professors, and campus events because the data is spread across different university systems. We wanted to build an AI assistant that understands university data and helps students get answers quickly in one place.
What it does
AskBaxter is a campus-focused AI assistant that helps students with course information, professor details, university events, and campus-related questions. One of its main features is personalized course planning, where students can get help choosing and organizing their classes.
How we built it
We built AskBaxter using a vector search system where university data is converted into embeddings and stored in a database. When a student asks a question, the system retrieves relevant information and sends it to an AI model to generate a helpful response. The app was built as a mobile application using Expo.
Challenges we ran into
One challenge was organizing university data so the AI could retrieve the correct information. Another challenge was making sure the system responded quickly while still providing accurate answers.
Accomplishments that we're proud of
We successfully created a working AI assistant that understands campus information and can help students plan courses and discover university events from a single app.
What we learned
We learned how vector databases, embeddings, and retrieval-based AI systems work together. We also gained experience building and deploying a mobile AI application.
What's next for AskBaxter
In the future, we want to improve personalized course planning, add voice interaction, and expand AskBaxter so it can be used by other universities as well.
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