🌱 Crop Sense – AI-Driven Agricultural Decision Support System

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.

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🚀 Features

• 📊 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.

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🛠️ Tech Stack

• 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

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📌 Current Progress

• ✅ 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.

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📊 Data Sources

• Soil property datasets (pH, nutrients, moisture)
• Localized weather forecast APIs
• Historical crop rotation data
• Market demand & pricing data

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🏆 Project Goals

• 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

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👥 Team

This project is being developed as part of the Smart India Hackathon (SIH).

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📜 License

This project is licensed under the MIT License – feel free to use, modify, and distribute with attribution.

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⭐ If you like this project, consider giving it a star on GitHub!