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README.md

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 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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+# 🌱 EcoScan - AI-Powered Waste Sorting Classifier
+
+![EcoScan Banner](https://img.shields.io/badge/AI-Waste_Classification-green?style=for-the-badge)
+![Python](https://img.shields.io/badge/Python-3.8+-blue?style=for-the-badge&logo=python)
+![PyTorch](https://img.shields.io/badge/PyTorch-2.0+-red?style=for-the-badge&logo=pytorch)
+![Gradio](https://img.shields.io/badge/Gradio-4.0+-orange?style=for-the-badge)
+
+An intelligent waste classification system that helps promote smart recycling and sustainability through AI-powered image recognition.
+
+## 🎯 Features
+
+- **🔍 Real-time Classification**: Upload waste images and get instant predictions
+- **📊 Confidence Scores**: See top-3 predictions with confidence percentages
+- **🔥 Explainable AI**: Grad-CAM visualization shows what the model focuses on
+- **♻️ Recycling Guidance**: Get specific tips for each material type
+- **🌍 Environmental Impact**: Learn decomposition times and eco-scores
+- **📱 Easy to Use**: Clean, intuitive Gradio interface
+
+## 🗂️ Supported Categories
+
+| Category | Icon | EcoScore | Decomposition Time |
+|----------|------|----------|-------------------|
+| Cardboard | 📦 | 9/10 | 2-3 months |
+| Glass | 🥃 | 8/10 | 1 million years |
+| Metal | 🔩 | 9/10 | 50-500 years |
+| Paper | 📄 | 8/10 | 2-6 weeks |
+| Plastic | 🧴 | 4/10 | 450-1000 years |
+| General Waste | 🗑️ | 3/10 | Variable |
+
+## 🚀 Quick Start
+
+### Installation
+
+```bash
+# Clone the repository
+git clone https: https://github.com/AyobamiMichael/EcoScanAIwasteClassifier.git
+cd ecoscan
+
+# Install dependencies
+pip install -r requirements.txt
+```
+
+### Project Structure
+
+```
+ecoscan/
+├── app.py                 # Main Gradio application
+├── requirements.txt       # Python dependencies
+├── README.md             # This file
+├── model/
+│   ├── ecoscan_model.pth      # Trained model weights
+│   └── class_names.json       # Class label mappings
+└── examples/             # Sample images (optional)
+    ├── plastic_bottle.jpg
+    ├── cardboard_box.jpg
+    └── glass_jar.jpg
+```
+
+### Running Locally
+
+```bash
+python app.py
+```
+
+Then open your browser to `http://localhost:7860`
+
+## 🧠 Model Details
+
+- **Architecture**: EfficientNet-B3
+- **Input Size**: 300x300 pixels
+- **Training Dataset**: TrashNet + Custom curated data (~2,500 images)
+- **Accuracy**: 90%+ on test set
+- **Framework**: PyTorch
+- **Inference Time**: <2 seconds per image
+
+## 🔧 Technical Stack
+
+| Component | Technology |
+|-----------|-----------|
+| Deep Learning | PyTorch 2.0+ |
+| Model Architecture | EfficientNet-B3 |
+| Web Framework | Gradio 4.0+ |
+| Computer Vision | OpenCV, Torchvision |
+| Explainability | Grad-CAM |
+
+## 📊 Performance Metrics
+
+- **Overall Accuracy**: 90.2%
+- **Precision**: 89.5%
+- **Recall**: 90.1%
+- **F1-Score**: 89.8%
+
+## 🌐 Deployment
+
+### Hugging Face Spaces
+
+1. Create a new Space on [Hugging Face](https://huggingface.co/spaces)
+2. Select Gradio as the SDK
+3. Upload all files from this repository
+4. Your app will automatically deploy!
+
+### Docker (Optional)
+
+```dockerfile
+FROM python:3.10-slim
+
+WORKDIR /app
+
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+
+COPY . .
+
+EXPOSE 7860
+
+CMD ["python", "app.py"]
+```
+
+## 💡 Usage Tips
+
+1. **Best Results**: Use well-lit, clear images with minimal background clutter
+2. **Multiple Items**: For best accuracy, photograph one item at a time
+3. **Angle**: Capture the item from a recognizable angle
+4. **Distance**: Fill at least 50% of the frame with the waste item
+
+## 🤝 Contributing
+
+Contributions are welcome! Please feel free to submit a Pull Request.
+
+## 📄 License
+
+This project is licensed under the MIT License - see the LICENSE file for details.
+
+## 🙏 Acknowledgments
+
+- Dataset: TrashNet by Gary Thung and Mindy Yang
+- Model Architecture: EfficientNet by Google Research
+- Framework: PyTorch by Meta AI
+- Interface: Gradio by Hugging Face
+
+## 📧 Contact
+
+For questions or feedback, please open an issue or reach out via email.
+
+---
+
+<div align="center">
+  <p>Built with ❤️ for a sustainable future</p>
+  <p>⭐ Star this repo if you find it useful!</p>
+</div>