Coursify
WIPAI-powered course selection platform for Queen's students with RAG chatbot, grade analytics, and professor insights from scraped reviews.
Overview
Coursify empowers Queen's students to make data-driven course decisions through comprehensive grade analytics and AI-powered insights. The platform features a RAG chatbot trained on thousands of student reviews from Reddit and RateMyProfessors, providing personalized recommendations on professors, workload, and teaching styles. Historical grade distributions spanning 10+ semesters reveal true course difficulty trends. Built with a multi-repository microservices architecture, automated web scrapers continuously gather data from Queen's calendars and student review platforms, storing vector embeddings for semantic search capabilities.
Tech Stack
Key Features
- RAG-powered AI chatbot delivering personalized course and professor recommendations
- Historical grade distribution analytics across 10+ semesters (2015-present)
- Automated web scraping pipeline for Reddit, RateMyProfessors, and Queen's calendar data
- Vector database with semantic search for intelligent course matching
- Real-time course search with advanced filtering and comparison tools
- Multi-repository microservices architecture for scalable data processing
- Mobile-responsive UI built with Next.js
- Supabase backend managing authentication and PostgreSQL database