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title: Real-time Smart Waste Classification
emoji: ♻️
colorFrom: green
colorTo: blue
sdk: gradio
sdk_version: 5.45.0
app_file: app.py
pinned: false
license: mit
short_description: This model can detect different types of wastes in Real-Time
---
# ♻️ Smart Waste Classification
An AI-powered web application that classifies different types of waste materials to help with proper recycling and disposal.
## Features
- **Image Classification**: Upload images of waste items for automatic classification
- **10 Categories**: Supports classification of biological waste, glass (brown/green/white), cardboard, metal, paper, plastic, shoes, and general trash
- **Recycling Guidance**: Provides clear guidance on whether items are recyclable or not
- **Statistics Dashboard**: Track classification statistics with visual charts
- **Export Reports**: Download classification data as CSV or PDF reports
## Supported Waste Categories
### Recyclable ♻️
- Brown Glass
- Green Glass
- White Glass
- Metal
- Plastic
- Paper
- Cardboard
### Non-Recyclable 🗑️
- Biological Waste
- Shoes
- General Trash
## How to Use
1. **Upload Image**: Click "Choose File" and select an image of waste material
2. **Classify**: Click "Classify Waste" to get AI prediction
3. **View Result**: See the predicted category, confidence score, and recycling guidance
4. **Check Stats**: Visit the statistics page to see classification trends
5. **Export Data**: Download your classification history as CSV or PDF
## Technology Stack
- **Backend**: Flask (Python web framework)
- **AI Model**: EfficientNet-B0 trained on waste classification dataset
- **Frontend**: Bootstrap 5 for responsive UI
- **Data Visualization**: Matplotlib for statistics charts
- **Export**: CSV and PDF report generation
## Model Information
The application uses a fine-tuned EfficientNet-B0 model trained specifically for waste classification. The model achieves high accuracy across all supported categories and provides confidence scores for each prediction.
## Limitations
- Camera functionality is not available in Hugging Face Spaces
- Maximum file size limits may apply
- Supported image formats: PNG, JPG, JPEG, GIF, BMP
## License
This project is licensed under the MIT License.
## Acknowledgments
- Built with TensorFlow/Keras
- UI components from Bootstrap
- Background images from Unsplash |