• ProfMatch
ProfMatch
"Aggie ProfMatch", a project that secured second place at the 2023 Howdy Hack, is a student-centric platform offering precise data on professors and courses, with a user-friendly interface and personalized ratings based on AEFIS evaluations.
Project Type
Design, DevelopmentTools Used
Next.js, Tailwind CSS, Axios, Flask, Python, PandasProject Overview
A student-centric platform offering precise data on professors and courses, with a user-friendly interface and personalized ratings based on AEFIS evaluations. The project secured second place at the 2023 Howdy Hack.
Key Features
- •Personalized professor recommendations
- •Course evaluation insights
- •User preference matching
- •Intuitive search interface
- •AEFIS data integration
Technical Highlights
- •Next.js frontend with Tailwind CSS
- •Flask backend API
- •Python data processing with Pandas
- •Axios for API integration
- •Responsive design implementation
Search Interface
Professor and course search functionality.
Recommendation System
Personalized professor recommendation interface.
Course Details
Detailed course and professor information display.
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