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This is a Next.js project bootstrapped with create-next-app.

Getting Started

First, run the development server:

npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun dev

Open http://localhost:3000 with your browser to see the result.

You can start editing the page by modifying app/page.js. The page auto-updates as you edit the file.

This project uses next/font to automatically optimize and load Inter, a custom Google Font.

Learn More

To learn more about Next.js, take a look at the following resources:

You can check out the Next.js GitHub repository - your feedback and contributions are welcome!

Deploy on Vercel

The easiest way to deploy your Next.js app is to use the Vercel Platform from the creators of Next.js.

Check out our Next.js deployment documentation for more details.

Tasks

Level 1: Build the Rate my Professor support agent using data stored in Pinecone

Level 2: Implement a feature that allows users to submit links to various professors' pages on Rate My Professor. The data from these web pages should then be automatically scraped and inserted into Pinecone.

Level 3: Implement an advanced search and recommendation system that allows users to query and receive personalized professor recommendations based on input criteria

Level 4: Integrate sentiment analysis and trend tracking to provide insights into changes in professor ratings and review sentiments over time.

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