GreenScan is an AI-powered web application that helps users identify and switch to eco-friendly products simply by uploading a product image. Using a deep learning model and sustainability database, the system analyzes the product and recommends more sustainable alternatives.

By combining computer vision with real-world sustainability data, we aim to make conscious shopping decisions easy, intuitive, and accessible for everyone.

📸 Key Feature:

  • Product Image-Based Sustainability Analysis
  • Upload a product image (e.g., food packet, shampoo bottle)
  • AI model (TensorFlow/Keras) classifies the product
  • The system fetches sustainability ratings, certifications, and material data
  • Suggests greener product alternatives
  • Displays eco-score badges

🚀 Features

  • 🖼️ Upload product image for real-time AI classification
  • ♻️ View sustainability rating
  • 📊 User dashboard to track eco-choices
  • 📱 Mobile-optimized frontend

🧠 Inspiration

  • Most people want to live sustainably, but they don’t know where to start. Product labels can be misleading, and research takes time. GreenScan solves this by making AI do the heavy lifting—analyze a product image and instantly offer reliable insights.

🛠️ Tech Stack

  • Frontend: React.js, Typescript, Tailwind CSS
  • Backend: Django (REST Framework)
  • AI/ML: TensorFlow & Keras (CNN for image classification)

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