Hackathon project focused on building an end-to-end product with a frontend, backend, and ML model.
This project is divided into three components:
| Folder | Description |
|---|---|
frontend/ |
UI & user-facing application |
backend/ |
Server, routes, business logic, APIs |
classification model/ |
Machine Learning scripts/notebooks |
Goal: Deliver a working MVP that solves a real user problem using clean architecture and fast execution.
- User authentication (login/signup)
- Dashboard for user input
- ML model for classification / recommendation
- API integration
- Clean, modular code structure
- Responsive frontend
| Layer | Tech |
|---|---|
| Frontend | JavaScript + (React/Vite/etc.) |
| Backend | Node.js / Express (or according to your repo) |
| ML | Python + Jupyter Notebook + Scikit-learn/TensorFlow |
| Version Control | Git & GitHub |
Build-A-Thon/
│── frontend/
│── backend/
│── classification model/
│── .gitignore
│── README.md
git clone https://github.com/Kunalthakur01/Build-A-Thon.git 🚦 Run the Project Start the backend
Start the frontend
Open browser at:
http://localhost:3000/ Login → Dashboard → Run workflows.
📈 Future Enhancements Improved UI/UX
More ML classification accuracy
Database integration (MongoDB/PostgreSQL)
Deployment to cloud (Render / Vercel / AWS)
🧪 Contribution Guide Fork repo
Create feature branch
bash Copy code git checkout -b feature/new-feature Commit & push
bash Copy code git commit -m "Add new feature" git push origin feature/new-feature Create Pull Request