🌾 Crop Recommend

A smart crop recommendation system powered by machine learning and Google Generative AI. This tool helps farmers and agricultural professionals determine the best crops to plant based on various input parameters.

🚀 Live Demo

🔗https://crop-recommend-wb46.onrender.com

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📂 Project Structure

crop_recommend/
├── app.py                 # Main Flask application
├── model.joblib           # Trained crop recommendation model
├── templates/
│   └── index.html         # Frontend interface
├── static/                # Static assets (if any)
├── requirements.txt       # Python dependencies
└── README.md              # Project documentation

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🧠 Features

• 📊 ML-based crop prediction
• 🌐 Google Generative AI integration
• 🔄 Real-time streaming responses with Flask
• 🖥️ Simple and user-friendly web interface

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🔧 Requirements

Install all dependencies using:

pip install -r requirements.txt

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🛠️ How to Run

1. Clone the repository:

git clone https://github.com/kunal472/crop_recommend.git
cd crop_recommend

2. Create a .env file in the root directory and add your Google API key:

GOOGLE_API_KEY=your_api_key_here

3. Start the Flask server:

python app.py

4. Open your browser and go to:

http://127.0.0.1:5000

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🧪 Example Inputs

Provide inputs like:

• Nitrogen (N)
• Phosphorus (P)
• Potassium (K)
• Temperature
• Humidity
• pH level
• Rainfall

Get real-time crop recommendations based on your environment.

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📦 Dependencies

• Flask
• NumPy
• Joblib
• Python-dotenv
• Google Generative AI

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🙌 Contributing

Feel free to fork the repo and submit pull requests. Contributions are welcome!

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📜 License

This project is licensed under the MIT License.

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✨ Author

Kunal Patil
🔗 GitHub

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