🚀 GreenRoute AI

AI-Powered Real-Time Vehicle Monitoring & Sustainability Intelligence Dashboard

🌍 Live Demo: https://green-route-ai-weld.vercel.app
💻 GitHub Repository: https://github.com/Krishn-01/GreenRoute_AI

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📌 Overview

GreenRoute AI is a modern fleet monitoring dashboard that combines real-time vehicle analytics with sustainability intelligence.

The platform is designed to help organizations monitor fleet performance, analyze environmental impact, and gain predictive insights through an intuitive AI-powered interface.

This project transforms traditional fleet tracking into an intelligent, data-driven sustainability platform.

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✨ Key Features

• 🚘 Real-time vehicle performance dashboard
• 📊 Interactive analytics charts (Recharts)
• 🌱 Sustainability scoring system
• 📈 Predictive analytics module
• 🤖 AI-powered fleet assistant interface
• 🎨 Modern glassmorphism UI design
• 📱 Fully responsive layout
• ⚡ Fast performance with Vite
• 🌐 Live production deployment with CI/CD

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🛠️ Tech Stack

🎨 Frontend

• React (Vite)
• Tailwind CSS
• Recharts
• Framer Motion
• Lucide React

⚙️ Backend

• Python
• Flask-style architecture

🚀 Deployment & DevOps

• Vercel (Frontend Hosting)
• GitHub (Version Control & CI/CD)

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🏗️ Project Structure

GreenRoute_AI/
│
├── frontend/                # React + Vite Frontend
│   ├── src/
│   ├── public/
│   ├── package.json
│   └── vite.config.js
│
├── app.py                   # Backend Entry Point
├── backend.py               # Backend Logic
├── requirements.txt
└── README.md

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🚀 Getting Started

1️⃣ Clone the Repository

git clone https://github.com/Krishn-01/GreenRoute_AI.git
cd GreenRoute_AI

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2️⃣ Run Frontend

cd frontend
npm install
npm run dev

Frontend runs at:

http://localhost:5173

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3️⃣ Run Backend (Optional)

pip install -r requirements.txt
python app.py

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🌍 Deployment

The frontend is deployed on Vercel with automatic GitHub CI/CD integration.

Every push to the main branch automatically triggers a new production deployment.

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🎯 Vision

GreenRoute AI aims to become a smart sustainability intelligence system for fleet operators by enabling:

• Data-driven operational decisions
• Reduced carbon footprint
• AI-assisted fleet optimization
• Predictive efficiency monitoring

The long-term goal is to integrate live APIs, real-time data streaming, and advanced AI models for enhanced decision-making.

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👨‍💻 Author

Harshit Pandey
GitHub: https://github.com/Krishn-01

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⭐ Future Enhancements

• 🔐 Authentication & User Roles
• 📡 Real-time API integration
• 🧠 Advanced AI model integration
• 📊 Admin analytics panel
• 🌐 Custom domain setup
• 📈 Enhanced predictive algorithms

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If you found this project interesting, consider giving it a ⭐ on GitHub!