🥦 Smart Bridge - AI Powered Produce Classifier 🍎

Smart Bridge is an AI-powered web application that detects whether fruits and vegetables are fresh or rotten using deep learning (VGG16). Built with a modern UI and deployed on Render, this tool provides instant quality analysis with a single image upload.

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🚀 Live Demo

🔗 Smart Bridge Live App Click the link and wait a minute to load the application and then refresh or open in a new tab

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📸 Demo Visuals

🏠 Home Page

🔍 Predict Page

📈 Result Output

About

Contact

🎥Demo Video:

https://drive.google.com/file/d/1W26DcKPSnwxO8gVYwLsN2Tkug1zpECqo/view?usp=sharing

💡 Features

• ✅ Upload an image of a fruit or vegetable
• ✅ Predict whether it’s Healthy or Rotten
• ✅ Stunning modern UI with dark theme and glassmorphism
• ✅ Fully responsive for all devices
• ✅ Backend powered by Flask + TensorFlow (VGG16)
• ✅ Hosted & Live on Render

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⚙️ Technologies Used

• Frontend: HTML, CSS, JavaScript
• Backend: Python Flask
• Deep Learning: TensorFlow, Keras, VGG16
• Deployment: Render (Backend), GitHub Hosting

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🗂️ Project Structure

smart-sorting/
│
├── app.py # Flask backend
├── healthy_vs_rotten.h5 # Trained model
├── requirements.txt
│
├── templates/ # HTML files
│ ├── index.html
│ ├── about.html
│ ├── contact.html
│ ├── predict.html
│ └── output.html
│
├── static/
│ ├── css/
│ │ └── style.css
│ └── img/
│ ├── banner.jpg
│ ├── email.png
│ ├── github.png
│ └── linkedin.png
│
└── screenshots/
├── home.png
├── predict.png
└── contact.png

📦 How to Run Locally

# Clone the repository
git clone https://github.com/RAFIROCK/smart-bridge.git
cd smart-bridge

# Optional: create virtual environment
python -m venv venv
venv\Scripts\activate     # For Windows
# source venv/bin/activate  # For macOS/Linux

# Install dependencies
pip install -r requirements.txt

# Run the Flask application
python app.py


Then open http://127.0.0.1:5000 in your browser.

👥 Development Team

Name	Role	GitHub Profile
V MAHAMMAD RAFI	Project Lead	@RAFIROCK

🎯 Use Cases

🏭 Factories: Automated sorting of fresh vs rotten produce

🛒 Supermarkets: Quality check at delivery docks

🏠 Smart Homes: Alert users to use produce before it spoils

🙌 Acknowledgements Kaggle Dataset – for the fruit and vegetable dataset

TensorFlow – deep learning framework

VGG16 – pre-trained model for transfer learning

Flask – lightweight Python web framework

✍️ Author

🧑🏻‍💻 V MAHAMMAD RAFI

🔗 GitHub: https://github.com/RAFIROCK

🔗 Portfolio: https://github.com/RAFIROCK

📜 License

This project is licensed under the MIT License. See the LICENSE file for details.