NEU Bites is a web application designed to help Northeastern University students discover nearby food options. By leveraging semantic search and a PostgreSQL database, the platform provides personalized dish recommendations based on user prompts.
- Food Discovery: Explore a variety of dishes and restaurants near Northeastern University.
- Semantic Search: Match user prompts to dishes using advanced vector-based search.
- Database Integration: GrubHub data is scraped and stored in a Supabase PostgreSQL database for fast and efficient querying.
- Backend: Flask, Supabase (PostgreSQL)
- Frontend: React.js
- Programming Language: Python (Backend), JavaScript (Frontend)
- Data Processing: GrubHub data scraping, pgvector extension for vector-based semantic search
- Deployment: AWS (Backend), Netlify (Frontend)
- Sathvik Charugundla
- Justin Iverson
- Ryaken Nakamato
- Nour Shoreibah
- Colin Wong