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🌍 AI-Driven Life Cycle Assessment (LCA) Tool

Advancing Circularity and Sustainability in Metallurgy and Mining

MERN Stack
Hackathon
License: MIT
Contributions Welcome

🚀 Developed for Smart India Hackathon (SIH) 2025, this project leverages the MERN Stack to build an intelligent platform that helps industries adopt sustainable and circular practices in the metallurgy and mining sector.


📖 Problem Statement

The metallurgy and mining industry is one of the largest contributors to environmental degradation:

  • ⚡ High energy consumption
  • 🌫️ Significant carbon emissions
  • 🌊 Excessive water usage & pollution
  • 🗑️ Massive waste generation

Industries lack a transparent, intelligent, and automated tool to measure, analyze, and reduce their life cycle impacts.


🎯 Our Solution

✨ The AI-Driven Life Cycle Assessment (LCA) Tool provides a web-based sustainability dashboard that:

  • Evaluates environmental footprint across the full cycle (raw material → processing → product → recycling)
  • Calculates circularity metrics for materials
  • Suggests AI-powered recommendations for eco-friendly improvements
  • Generates PDF/Excel sustainability reports for stakeholders

🌱 Helping organizations transition toward a circular economy while achieving net-zero goals


🏗️ System Architecture

graph TD
A[User Input: Industry Data] --> B[Backend - Node.js/Express]
B --> C[AI & LCA Engine]
C --> D[MongoDB Database]
C --> E[Visualization - Chart.js/Plotly]
E --> F[React Frontend Dashboard]
Loading

⚡ How It Works

1️⃣ Data Collection → Industry enters/upload data (energy, material, emissions) 2️⃣ Processing → Backend computes LCA & circularity metrics 3️⃣ Visualization → Interactive dashboards display reports 📊 4️⃣ Decision Support → AI recommends sustainability actions 5️⃣ Export Reports → One-click PDF/Excel download for stakeholders


✨ Features

  • 🤖 Automated LCA Calculations – End-to-end impact analysis
  • ♻️ Circularity Index – Measures reuse, recycling & recovery
  • 🌱 Carbon & Energy Tracking – Monitor footprints in real-time
  • 📊 Dynamic Dashboards – Graphs, charts, KPIs for quick insights
  • 📂 Report Generator – Export PDF/Excel sustainability reports
  • 🔗 Material Flow Mapping – Track resources at each stage
  • 🔍 AI-Powered Recommendations – Smart insights for optimization
  • 🌐 Multi-User Support – Roles for industries, auditors & policymakers
  • 🔒 Secure Authentication – JWT-based login system

📦 Tech Stack

Layer Technology
🗄️ Database MongoDB
⚙️ Backend Express.js + Node.js
🖥️ Frontend React.js
📊 Visualization Chart.js / D3.js / Plotly
🤖 Intelligence Python ML APIs (Future Integration)
🔐 Authentication JWT + bcrypt.js

🚀 Installation Guide

1️⃣ Clone the Repository

git clone https://github.com/YourUsername/SIH2025-LCA-Tool.git
cd SIH2025-LCA-Tool

2️⃣ Install Backend Dependencies

cd backend
npm install

3️⃣ Install Frontend Dependencies

cd ../frontend
npm install

4️⃣ Configure Environment Variables

Create a .env file inside backend/:

MONGO_URI=your_mongodb_connection_string
PORT=5000
JWT_SECRET=your_secret_key

5️⃣ Run the Application

👉 Start backend server:

cd backend
npm start

👉 Start frontend:

cd ../frontend
npm start

🎉 Open the app at: http://localhost:3000


🔗 API Endpoints (Sample)

Method Endpoint Description
POST /api/auth/register Register new user
POST /api/auth/login Login & get JWT
POST /api/lca/calculate Submit industry data & calculate LCA
GET /api/lca/results/:id Fetch LCA results
GET /api/reports/download/:id Download report (PDF/Excel)

📚 Use Cases

  • 🔹 Mining Companies – Track sustainability KPIs
  • 🔹 Metallurgical Industries – Optimize energy & resource usage
  • 🔹 Government & Policy Makers – Monitor environmental compliance
  • 🔹 Consulting Firms – Perform sustainability audits
  • 🔹 Academia & Research – Study environmental impacts in heavy industries

🔮 Future Integrations

  • 🚀 Blockchain – Supply chain traceability
  • 📡 IoT Sensors – Real-time process monitoring
  • ☁️ Cloud Deployment – AWS / Azure / GCP scalability
  • 📱 Mobile App – On-the-go sustainability insights
  • 📊 Advanced Data Analytics – Forecasting & trend prediction
  • 🤝 Integration with ESG Reporting – Streamlined compliance

🌟 Impact & Benefits

✅ Enables industries to achieve Net-Zero Targets ✅ Promotes Circular Economy Practices 🔄 ✅ Reduces Environmental Footprints 📉 ✅ Empowers Data-Driven Decision Making ✅ Improves Global Competitiveness via Green Innovation 🌍


🤝 Contributing

We welcome contributions! 🎉

  1. Fork the repo
  2. Create a feature branch (git checkout -b feature-name)
  3. Commit changes (git commit -m 'Add feature')
  4. Push to branch (git push origin feature-name)
  5. Open a Pull Request 🚀

📜 License

This project is licensed under the MIT License – free to use, modify, and distribute.


If you found this useful, consider giving the repo a star!

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