Before going to details, our deployments on vercel just include front-end and login, logout so people could see our website you can not use any service on these deployments yet.
Welcome to NoteUS, a full-stack machine learning application developed by the Win to Win team as part of the Machine Learning course. NoteUS offers powerful features to help users interact with unstructured content:
- 💬 Question answering from:
- Uploaded documents (PDF, text, etc.)
- YouTube video URLs
- Audio files (speech-to-text processing)
- 🧠 Automatic mind map generation to visualize key concepts and relationships
- 📄 Cheat sheet creation for quick summaries and review
- 🧭 Interactive mind map functionality:
- Ask and receive context-aware questions
- Highlight key sections
- Generate flashcards from selected branches
| Name | Major | University |
|---|---|---|
| Tuan-Anh Ha | Information Technology | University of Science (VNUHCM) |
| Quang-Thang Duong | Information Technology | University of Science (VNUHCM) |
| Quoc-Thang Nguyen | Information Technology | University of Science (VNUHCM) |
| Hai-Long Pham-Nguyen | Information Technology | University of Science (VNUHCM) |
| Thanh-Nghia Vo | Information Technology | University of Science (VNUHCM) |
git clone https://github.com/Htaaxx/NoteUS/
cd api
python -m venv venv
source venv/bin/activate # or .\venv\Scripts\activate on Windows
pip install -r requirements.txt
python main.py
Runs at http://localhost:8000
Built using Next.js, the front-end provides a modern UI for interacting with the APIs and backend.
cd front-end
npm install
npm run dev
Runs at http://localhost:3000
cd back-end
npm install
node src/server
Runs at http://localhost:5000
If needed, you can copy the sample environment files:
cp api/.env.example api/.env
cp back-end/.env.example back-end/.env.local
cp front-end/.env.example back-end/.env.local
To run the entire application (API, frontend, and database), simply run:
docker-compose up
Docker Compose will automatically: 1. Start the API 2. Wait for the API to become ready 3. Start the frontend and database once the API is up No additional setup is needed — just make sure Docker is running on your machine.