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🌱 Crop Recommendation & Disease Detection model | SIH 2k25 🚜

Empowering Farmers with Data-Driven Insights & AI-Powered Disease Detection 🌿

Helping farmers choose the best crops and detect diseases early to boost productivity and ensure sustainable agriculture. 🌍

🚀 Features

  • ✅ Crop Recommendation: Get the best crop suggestions based on soil and weather conditions
  • ✅ Disease Detection: Upload images of crop leaves to detect diseases instantly
  • 🎨 Attractive, responsive, and easy-to-use UI
  • ⚡ Fast predictions with real-time input
  • 🎯 User-friendly interface for farmers

🛠️ Tech Stack

📁 Folder Structure

Crop-Recommendation-Disease-Detection/ │ ├── app.py ├── templates/ │ └── index.html ├── static/ │ ├── style.css │ └── scripts.js ├── models/ │ ├── crop_recommendation_model.pkl │ └── disease_detection_model.keras ├── uploads/ ├── README.md

⚡ How to Run Locally

  1. Clone the repository:

    git clone https://github.com/akshitvats026/crop-recommendation-disease-detection.git

  2. Install dependencies: pip install -r requirements.txt

  3. Run the Flask app: python app.py

📸 Snapshots

Screenshot 1 Screenshot 2 Screenshot 3

🌱 Future Improvements

Add multilingual support for wider reach

Deploy as a full mobile-friendly PWA

Integrate weather API for live updates

Enhance UI animations and interactivity

🌟 Let’s Grow Smarter Agriculture Together! 🚜🌱

This project is designed to empower farmers by combining the power of machine learning and intuitive design to recommend the best crops and detect diseases early. ✨ Whether you are a developer, a data enthusiast, or someone passionate about sustainable farming, your contributions and feedback are always welcome! 🚀

❤️ Made With Love By Akshit Vats

💡 Innovating for a greener, healthier planet 🌍

Keep learning. Keep growing. Keep coding. 🌾💻