CarbonCTRL

CarbonCTRL is a carbon management web app for tracking emissions, viewing insights, and generating recommendations. It includes a React dashboard, an Express API, and optional ML-based forecasting.

What it does

• Track carbon activities and emissions
• Show dashboards and benchmarks
• Generate ML-backed recommendations (optional Gemini enhancement)

Tech stack

• Frontend: React, TypeScript, Vite, Tailwind CSS
• Backend: Node.js, Express, MongoDB
• ML: Python, TensorFlow, scikit-learn

Quick start

1. Install dependencies

npm install

2. Backend env (server/.env)

MONGODB_URI=...
JWT_SECRET=...
PORT=5000
FRONTEND_URL=http://localhost:5173

3. Frontend env (root/.env.local)

VITE_API_URL=http://localhost:5000/api

4. Run

cd server && node index.js
npm run dev

ML Models

• Prediction: LSTM + Attention for 7-day carbon forecasting (trained on 1500+ days)
• Recommendations: 8+ strategies with industry-specific personalization
• Response time: <100ms average

Trained on synthetic data.

License

MIT License – see LICENSE.