https://github.com/type0-1/rate-my-professor

A RAG app using generative AI and data retrieval technologies, which provides personalized professor recommendations based on reviews, ratings, and course information.
https://github.com/type0-1/rate-my-professor

css gemini-api html javascript pinecone rag react

Last synced: about 11 hours ago
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A RAG app using generative AI and data retrieval technologies, which provides personalized professor recommendations based on reviews, ratings, and course information.

• Host: GitHub
• URL: https://github.com/type0-1/rate-my-professor
• Owner: type0-1
• Created: 2024-08-25T18:46:21.000Z (2 months ago)
• Default Branch: main
• Last Pushed: 2024-08-28T00:08:29.000Z (2 months ago)
• Last Synced: 2024-08-29T00:03:27.486Z (2 months ago)
• Topics: css, gemini-api, html, javascript, pinecone, rag, react
• Language: Jupyter Notebook
• Homepage: https://rate-my-professor-liard.vercel.app
• Size: 157 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# AI Rate My Professor - RAG App

## Overview

* The AI Rate My Professor app uses Retrieval-Augmented Generation (RAG) to help students find the best professors. It combines data retrieval with generative AI to provide personalized, relevant recommendations based on professor reviews, ratings, and course details.

## What the RAG App Does

`Personalized Recommendations:` The app delivers the top 3 professor recommendations tailored to the student's query.

`RAG System:` It retrieves relevant data and uses generative AI to analyze and respond with precise, informed suggestions.

`Dynamic Query Handling:` If the query is vague, the app asks follow-up questions to refine its recommendations.

`Decision Support:` Helps students make informed decisions about course selections by providing clear and concise recommendations.