🌿 DetectMe API - Plant Disease Detection

This is a Flask-based API for detecting plant diseases from images using a deep learning model. The API processes an image, runs it through a pre-trained model, and returns a prediction of the disease type.

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🚀 Features

• Accepts Base64-encoded images via a POST request
• Uses a deep learning model (plant_disease_model.h5) to classify plant diseases
• Supports CORS for cross-origin requests
• Includes a health check endpoint

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📂 Project Structure

📁 DetectMe-Backend
│-- app.py              # Main Flask API
│-- plant_disease_model.h5  # Trained model
│-- requirements.txt    # Dependencies

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🔧 Setup & Installation

1️⃣ Clone the Repository

git clone https://github.com/yourusername/DetectMe-backend.git
cd DetectMe-backend

2️⃣ Create a Virtual Environment

python -m venv venv
source venv/bin/activate  # On Windows use: venv\Scripts\activate

3️⃣ Install Dependencies

pip install -r requirements.txt

4️⃣ Run the API

python app.py

By default, the API will run at http://127.0.0.1:5000/.

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📡 API Endpoints

🟢 Health Check

Endpoint: /health
Method: GET
📌 Check if the API is running.

Response

{
  "status": "API is running"
}

🌱 Plant Disease Prediction

Endpoint: /predict
Method: POST
📌 Send a Base64-encoded image to get disease prediction.

Request Body

{
  "image": "data:image/png;base64,...."
}

Response

{
  "disease": "Corn - Common Rust",
  "confidence": 0.95,
  "class_index": 0
}

⚠ Possible Errors

• 400: Invalid or missing image data
• 500: Model loading or prediction failure

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📜 Dependencies

• Flask
• TensorFlow / Keras
• NumPy
• Pillow
• Flask-CORS

Install them using:

pip install -r requirements.txt

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🔗 Future Enhancements

✅ Improve model accuracy
✅ Add more plant disease classes
✅ Deploy API to cloud (e.g., AWS, Heroku)

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🤝 Contributing

Feel free to fork, submit issues, or create pull requests! 🚀

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🏷 License

MIT License © 2025 DetectMe Team

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