A smart farming assistant for Indian farmers with voice interaction, image analysis, and AI-powered agricultural advice.

• 🎤 Voice Interaction: Hindi voice commands and responses
• 📸 Image Analysis: Plant health, pest, and disease detection
• 🌾 Farm Co-Pilot: Personalized farming plans and schedules
• 📊 Market Prices: Real-time crop price information
• 📱 SMS Alerts: Important farming alerts via SMS
• 🌤️ Weather Integration: Location-based weather data
• 📝 Farm Memory: Track farming activities and advice history

• Frontend: React 18, Vite, Tailwind CSS
• Backend: Firebase (Auth, Firestore)
• AI: Google Gemini API for text and voice generation
• APIs: OpenWeatherMap, Fast2SMS
• Icons: Lucide React

git clone <repository-url>
cd kisanvision

npm install

Copy .env.example to .env and fill in your API keys:

cp .env.example .env

Required API keys:

• Firebase configuration
• Google Gemini API key
• OpenWeatherMap API key
• Fast2SMS API key

npm run dev

npm run build

kisanvision/
├── src/
│   ├── main.jsx          # Main application component
│   └── index.css         # Global styles and Tailwind imports
├── public/               # Static assets
├── index.html           # HTML template
├── package.json         # Dependencies and scripts
├── vite.config.js       # Vite configuration
├── tailwind.config.js   # Tailwind CSS configuration
└── postcss.config.js    # PostCSS configuration

• Hindi speech recognition
• Text-to-speech responses
• Real-time audio visualization

• Plant health assessment
• Pest and disease identification
• Crop condition evaluation

• Personalized farming schedules
• Risk assessment
• Alert system with SMS integration

• Real-time crop prices
• Market trend analysis

1. Google Gemini: AI text and voice generation
2. Firebase: Authentication and data storage
3. OpenWeatherMap: Weather data
4. Fast2SMS: SMS notifications

• Chrome 80+
• Firefox 75+
• Safari 13+
• Edge 80+

• Environment variable protection
• Firebase security rules
• Input sanitization
• Error boundary handling

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Run linting: npm run lint
5. Submit a pull request

This project is licensed under the MIT License.

For support and questions, please contact the development team.