NoteTube

An AI-powered web app that turns your favorite YouTube video tutorials into organized and structured notes

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Tech Stack

• Python
• Django
• Nginx
• k6
• AWS EC2
• PostgreSQL
• Docker
• Tailwind CSS
• Gunicorn
• OpenAI
• AssemblyAI

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Features (updating...)

• End-to-end app flow

  • Frontend + backend integrated into a fullstack app
  • Authenticated users can:
    • Sign up / log in
    • Create notes with AI

• API-Chain Pipeline

  • Turn YouTube videos into transcripts via AssemblyAI.
  • Transcripts get plugged into the prompt to create structured notes.

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📚 What I Learned From This Project

• Reverse Proxy via Nginx Integrated a reverse proxy via Nginx sitting in front of my webserver Using light-weight version of the heavy NGINX image, nginx:alpine, significantly improving static assest performance

• Deployment via AWS EC2 instance Deployed and configured EC2 instance for hosting a web application

• Load and stress testing with k6 Implemented k6-based load and stress tests to validate API performance, latency,** throughput (req/s)** and error rates under realistic traffic patterns.

• Managing multiple containers Defined, configured, and managed a multi-container application.

• Working with Django
  I learned how to work with the Django framework and its quick-to-develop qualities, like a built-in authentication system.

• API-Chain Pipeline I Learned how to chain API outputs into inputs by feeding AssemblyAI transcripts into OpenAI to produce clean, structured notes.

• OAuth for 3rd party account authorization I learned how to integrate OAuth into a Django web app via AllAuth (Google OAuth) for enhanced security and convenience.

• Tailwind CSS
  I worked on adding some styling using Tailwind CSS instead of just using normal CSS.

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Running the Project

To run the project locally, follow these steps:

1. Clone the repo (git clone )
2. Create a virtual environment (python3 -m venv venv)
3. Activate the environment (source venv/bin/activate)
4. Install requirements (pip install -r requirements.txt)
5. Run locally (python manage.py runserver)

Run with Docker

2. Build image (docker build -t notetube:latest)
3. Run image (docker run --rm -p 8000:8000 --env-file .env notetube:latest)