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metadata 
title: Plant Disease Detection
emoji: 🌿
colorFrom: green
colorTo: blue
sdk: docker
sdk_version: latest
app_file: app.py
pinned: false

🌿 Plant Disease Detection

A deep learning-based web application that identifies plant diseases from leaf images using a ResNet9 model, providing fast and accurate predictions.

🚀 Features

  • 🌱 Identify 38 different plant diseases using a ResNet9 model
  • 📊 Interactive prediction visualization
  • 📱 Mobile-responsive design
  • ⚡ Fast inference with model caching
  • 📝 Detailed disease information and treatment suggestions
  • 🐳 Docker container support for easy deployment

🛠️ How to Run Locally

  1. Clone the repository:

    git clone https://huggingface.co/spaces/saketh-005/plant-disease-detection
cd plant-disease-detection

  2. Install dependencies:

    pip install -r requirements.txt

  3. Run the Streamlit app:

    streamlit run app.py

🌐 Deployment

This app is deployed on Hugging Face Spaces. You can access it here.

📝 Note

This is a demonstration application. For production use, please consult with agricultural experts and use laboratory testing for accurate disease diagnosis.

📄 License

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