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This is a Full Stack project that incorporates Next.js & React, Big Data, Data Engineering, AI/ML, and NLP. It is meant to be YouTube video recommender for Computer Science students.

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Shabbar10/SyllabusTree

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About SyllabusTree

SyllabusTree is a 3rd year project that our team, consisting of Abubakar Siddiq and I, have undertaken that combines the subjects of Big Data, Data Engineering, AI/ML, NLP, and Full Stack Development.

The idea is for this to become a YouTube vidoe recommender for 1st, 2nd, and 3rd Year Computer Science Undergrad students.

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.

About

This is a Full Stack project that incorporates Next.js & React, Big Data, Data Engineering, AI/ML, and NLP. It is meant to be YouTube video recommender for Computer Science students.

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