AI-Powered Real-Time Vehicle Monitoring & Sustainability Intelligence Dashboard
GreenRoute AI is a smart fleet monitoring platform that combines real-time vehicle analytics, sustainability scoring, and AI-powered insights to help organizations optimize fleet performance while reducing environmental impact.
🌍 Live Demo: https://green-route-ai-weld.vercel.app 💻 GitHub Repository: https://github.com/Krishn-01/GreenRoute_AI
GreenRoute AI is designed to transform traditional fleet monitoring systems into an intelligent sustainability platform.
The system analyzes vehicle performance data, estimates carbon emissions, and generates AI-driven insights to improve operational efficiency and promote eco-friendly transportation decisions.
This dashboard provides a modern analytics interface where fleet managers can monitor vehicle health, track emissions, and receive optimization recommendations.
🚘 Real-time Vehicle Monitoring Track vehicle fuel usage, speed, temperature, and system performance.
📊 Interactive Analytics Dashboard Visualize fleet data through dynamic charts and real-time metrics.
🌱 Sustainability Scoring System Evaluate environmental impact using a calculated carbon emission score.
📈 Predictive Analytics Module Analyze vehicle performance trends and anticipate inefficiencies.
🤖 AI-Powered Fleet Assistant Generate insights and optimization suggestions using AI.
🎨 Modern UI Design Glassmorphism-inspired interface built for clarity and usability.
📱 Responsive Dashboard Fully responsive layout optimized for desktop and tablet.
⚡ High Performance Frontend Built with Vite for extremely fast development and rendering.
🌐 Automated Deployment Continuous deployment with GitHub and Vercel.
- React (Vite)
- Tailwind CSS
- Recharts (Data Visualization)
- Framer Motion (Animations)
- Lucide React (Icons)
- Python
- FastAPI / Flask-style architecture
- AI Integration with Groq API
- SQLite
- Vercel (Frontend Hosting)
- GitHub (Version Control)
- CI/CD with GitHub integration
User
↓
React Frontend (Dashboard UI)
↓
Python Backend API
↓
AI Processing Layer (Groq LLM)
↓
Data Processing & Storage (SQLite)
The system processes vehicle data, calculates sustainability metrics, and generates AI-powered insights through an integrated backend pipeline.
GreenRoute_AI/
│
├── frontend/ # React + Vite Frontend
│ ├── src/
│ ├── public/
│ ├── package.json
│ └── vite.config.js
│
├── backend/ # Python Backend
│ ├── app.py
│ ├── backend.py
│ ├── requirements.txt
│ ├── ai_reports.db
│ └── .env
│
├── .gitignore
└── README.md
git clone https://github.com/Krishn-01/GreenRoute_AI.git
cd GreenRoute_AI
cd frontend
npm install
npm run dev
Frontend runs at:
http://localhost:5173
cd backend
python -m venv venv
pip install -r requirements.txt
uvicorn backend:app --reload
Backend API runs at:
http://127.0.0.1:8000
API documentation available at:
http://127.0.0.1:8000/docs
Create a .env file inside the backend folder.
Example:
GROQ_API_KEY=your_api_key_here
The frontend is deployed using Vercel with automatic CI/CD integration.
Every push to the main branch automatically triggers a production deployment.
Live Application:
https://green-route-ai-weld.vercel.app
GreenRoute AI aims to become a smart sustainability intelligence system for fleet operations by enabling:
- Data-driven operational decisions
- Reduced carbon footprint
- AI-assisted fleet optimization
- Predictive vehicle efficiency monitoring
Future versions will integrate live traffic APIs, real-time data streaming, and advanced AI models for deeper analytics.
🔐 Authentication & User Role Management 📡 Real-time Vehicle Data APIs 🧠 Advanced AI Prediction Models 📊 Admin Analytics Dashboard 🌐 Custom Domain Deployment 📈 Improved Predictive Algorithms
KRISHN KUMAR PANDEY
GitHub: https://github.com/Krishn-01
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