EcoLens

AI-Powered Environmental Sustainability Analyzer

Redefining sustainability by revealing the hidden footprint of everyday products.

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✨ Overview

Every day, millions of purchasing decisions are made without understanding their environmental cost.
EcoLens bridges this gap by analyzing ingredients, lifecycle impact, and packaging choices—empowering both consumers and manufacturers to make conscious, sustainable decisions.

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🚀 Key Features

• Scan-to-Insight → Instantly uncover a product's environmental footprint
• Ingredient Intelligence → Decode hidden formulations into sustainability metrics
• Lifecycle Assessment Engine → Predict, compare, and optimize product sustainability
• AI-Powered Reasoning → Contextual insights powered by Groq's LLaMA models + Tavily
• Voice-First Experience → Accessibility through Whisper + TTS
• Seamless Web App → Built with React.js, Next.js, and MongoDB for scale

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🏆 Recognition

🌱 Top 10 Finalist at IEEE Tech Sangam Hackathon
Recognized for combining AI, Sustainability, and Accessibility to drive climate impact

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⚙️ Tech Stack

Layer	Technologies
Frontend	React.js, Next.js, TailwindCSS
Backend	Python (Flask, FastAPI), MongoDB, Node.js, Express.js
ML Models	Transformers, RandomForest, GradientBoosting
AI Reasoning	Groq LLaMA-3.1 + Tavily
Voice AI	OpenAI Whisper, TTS
Infrastructure	Docker, REST APIs

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📂 Repository Structure

EcoLens/
├── Frontend/                  # React + Next.js web app
│   ├── backend/               # Node.js + Express API for auth, uploads, products
│   ├── public/                # Static assets (logos, images, icons)
│   └── src/                   # App pages, components, chatbot, dashboards
│
├── ML-Backend/                # AI/ML engine + FastAPI backend
│   ├── Agents/                # AI agents (satellite analyst, sustainability reports)
│   ├── Alerts/                # Eco alerts + monitoring service (Node.js server)
│   ├── LCA/                   # Lifecycle Assessment models, results & comparisons
│   ├── chatbot/               # Voice & text chatbot powered by Whisper + LLaMA
│   ├── dataset_building/      # Scripts + datasets for eco-score generation
│   ├── ocr/                   # OCR + barcode/url-based product data extraction
│   ├── proportions-quantifier/# Ingredient proportion prediction models
│   ├── main.py                # Entry point for backend server
│   └── requirements.txt       # Python dependencies
│
└── README.md                  # Project documentation

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🔧 Local Setup

Follow these steps to run EcoLens locally:

1️⃣ Frontend (Terminal 1)

cd frontend
npm install
npm run dev

The frontend should now run on http://localhost:3000.

2️⃣ Backend with Ngrok (Terminal 2)

cd backend
ngrok http 5001

Copy the generated HTTPS URL (e.g., https://2593391a16e1.ngrok-free.app).

Open your .env file and paste it as your BACKEND_PUBLIC_URL.

3️⃣ Backend Server (Terminal 3)

cd backend
node server.js

4️⃣ Configure .env

Create a .env file inside the backend/ directory with the following variables:

PORT=5001
ML_BASE_URL=https://prishaa-library-space.hf.space

# Replace this with your ngrok URL
BACKEND_PUBLIC_URL=https://2593391a16e1.ngrok-free.app  

BACKEND_URL=http://localhost:5001
MONGODB_URI=your_mongodb_connection_string

CLOUDINARY_API_KEY=your_cloudinary_key
CLOUDINARY_SECRET_KEY=your_cloudinary_secret
CLOUDINARY_NAME=your_cloudinary_name

JWT_SECRET=your_jwt_secret
SENDER_EMAIL=your_email
SENDER_PASSWORD=your_email_password
GOV_EMAIL=gov_email_if_any

✅ After this setup, your EcoLens app will be live locally with:

• Frontend → http://localhost:3000
• Backend (Ngrok) → https://xxxxxx.ngrok-free.app

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🔮 Future Scope

• Cross-Domain Expansion → Extend sustainability analysis to food, fashion, consumer electronics, and logistics, creating a unified eco-intelligence platform.
• Seamless Retail Integration → Partner with e-commerce platforms, supermarkets, and manufacturers to embed real-time eco scores into purchase journeys.
• Ubiquitous Accessibility → Build mobile-first apps (Android & iOS) with AR-powered product scanning for instant sustainability insights.
• Smarter AI Insights → Enhance reasoning with multi-agent systems that can cross-verify product data, predict carbon hotspots, and recommend eco-friendly alternatives.
• Enterprise SaaS Offering → Provide a cloud-based platform for enterprises, NGOs, and governments to track and improve supply chain sustainability at scale.
• IoT & Satellite Data Fusion → Incorporate IoT sensors, geospatial analytics, and satellite imagery to validate sourcing claims and monitor environmental footprints.
• Policy & Awareness Impact → Support regulatory compliance checks and build consumer education dashboards to drive large-scale behavioral change.

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Contributors

We thank all the amazing contributors who built EcoLens 🌱

• Anannaya Agarwal
• Ishita Sodhiya
• Loheyta Dhanure
• Prisha Birla
• Sakshi Sangale