🌿 AgroAid: Multilingual Pest Diagnosis & Pesticide Recommendation

AgroAid is a web-based AI system that helps farmers identify crop diseases using images of plant leaves. It uses a Convolutional Neural Network (CNN) model trained to recognize various plant diseases and offers a clean UI for users to interact with the system.

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🚀 Features

• Upload leaf images and detect diseases instantly
• Deep learning-based classification (CNN)
• Clean Flask-based web interface
• Deployable on local or cloud servers

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🛠️ Installation & Usage

1. Clone the Repository

git clone https://github.com/HariN999/AgroAid.git
cd AgroAid

2. Set Up the Environment

Install required packages:

pip install -r requirements.txt

3. Run the App Locally

python app.py

Visit http://localhost:5000 in your browser.

4. Upload a Leaf Image

1. Use the "Choose File" button on the homepage to upload an image.
2. Click "Predict".
3. The app will show the predicted disease (if any).

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🤖 Model Info

The model is defined in CNN.py and loaded in app.py. You can replace the existing model with your own trained .h5 model if needed.

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💡 How to Use This Repo

• Run the app locally using the above instructions.
• Retrain or modify the model in CNN.py.
• Update the web interface via templates/ and static/ folders.

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🤝 Contributing

We welcome all contributions!

1. Fork the repo
2. Create a new branch (git checkout -b feature/YourFeature)
3. Make your changes
4. Commit (git commit -m 'Add YourFeature')
5. Push to your fork (git push origin feature/YourFeature)
6. Create a Pull Request

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📬 Contact

For questions, open an issue or connect via LinkedIn.