An AI-powered decision support system that empowers farmers with real-time, personalized agricultural guidance.
Through a multilingual mobile application, the platform provides crop recommendations, disease detection, and market insights, helping farmers improve yield, reduce risks, and maximize profits.
- 📊 Smart Crop Recommendations – Based on soil, weather, and historical data.
- 🌾 Disease Detection – AI-powered early warning for crop diseases.
- 📈 Market Insights – Real-time updates on demand, pricing, and trends.
- 🌍 Multilingual Support – Accessible to farmers across diverse regions.
- 📱 User-Friendly Interface – Simple design tailored for ease of use.
- Frontend: React.js / HTML / CSS / JavaScript
- Backend: flask(python)
- AI/ML Models: Python, TensorFlow / PyTorch (future integration)
- Database: Firebase and MySQL
- APIs: Weather API, Soil Data API, Market Price API
- ✅ Frontend prototype completed with sample data.
- ✅ Presentation prepared (minor design updates pending).
- 🔄 Backend APIs and AI models identified for integration.
- ⏳ Next: Integration of backend with frontend, dataset testing, and final demo.
- Soil property datasets (pH, nutrients, moisture)
- Localized weather forecast APIs
- Historical crop rotation data
- Market demand & pricing data
- Empower farmers with data-driven decisions
- Minimize risks and improve crop yield & profitability
- Promote sustainable farming practices
- Bridge the gap between technology and grassroots farming communities
This project is being developed as part of the Smart India Hackathon (SIH).
Thanks to these amazing people who contributed to this project 💙
 Pranjal Thange |
Soumya Sagar |
 Varad Raj Aggrawal |
 Akshat Patil |
 Tuhin Mondal |
 Shelly Chahar |
This project is licensed under the MIT License – feel free to use, modify, and distribute with attribution.
⭐ If you like this project, consider giving it a star on GitHub!