🌱 FarmWise: AI-Powered Agricultural Assistant

FarmWise is a smart, multilingual web application designed to empower Indian farmers. By leveraging Google's Gemini AI, it provides real-time plant disease detection, agricultural advice, weather updates, and market prices in multiple local languages.

✨ Features

• 🤖 AI Plant Doctor: Upload a photo of a sick plant, and Gemini AI will identify the disease and suggest sustainable treatments.
• 🗣️ Multilingual Support: Full text and voice support for English, Hindi, Tamil, Malayalam, and Kannada.
• 🌦️ Real-Time Weather: Accurate local weather forecasts and farming advisories based on current conditions.
• 💰 Market Prices: Check real-time Mandi prices for various crops across different Indian states.
• 📜 Government Schemes: Easy access to information about the latest government welfare schemes for farmers.
• 🎙️ Voice Interaction: Ask questions or listen to responses using integrated Speech-to-Text and Text-to-Speech.

🛠️ Tech Stack

• Backend: Python (Flask)
• AI Model: Google Gemini 2.5 Flash (via google-generativeai)
• Frontend: HTML5, CSS3, JavaScript (Vanillajs)
• Data Sources:
  • Weather API (WeatherAPI)
  • Data.gov.in (Market Prices)
• Design: Responsive UI with Dark Mode support

📁 Project Structure

farmwise/
├── .gitignore          # Excludes API keys/secrets
├── .env.example        # Template for environment variables
├── README.md           # Project Documentation
├── app.py              # Main Flask Application
├── cropprice.csv       # Market Price Data
├── requirements.txt    # Project Dependencies
├── schemes.json        # Government Schemes Data
├── static/             # Static Assets
│   ├── css/            # Stylesheets
│   └── js/             # JavaScript Logic
└── templates/          # HTML Templates
    └── index.html      # Main Dashboard

🚀 Installation & Setup

Follow these steps to run the project locally on your machine.

1. Clone the Repository

git clone https://github.com/sanyamkansal/FarmWise
cd FarmWise

2. Create a Virtual Environment (Recommended)

python -m venv venv
# Windows
venv\Scripts\activate
# Mac/Linux
source venv/bin/activate

3. Install Dependencies

pip install -r requirements.txt

4. Configure Environment Variables

1. Copy the example env file:

   cp .env.example .env
   

2. Open .env and replace the placeholder values with your actual API Keys:

   GEMINI_API_KEY=your_actual_gemini_key
   WEATHER_API_KEY=your_actual_weather_key
   

5. Run the Application

python app.py

Open your browser and visit: http://localhost:5000

🔗 Notes

• Maximum plant image size: 5MB
• Supported image types: PNG, JPG, JPEG, GIF, BMP, WebP

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

👨‍💻 Author

Sanyam Kansal

• GitHub: sanyamkansal

📄 License

This project is open-source and available under the MIT License.