- Disease Identification: Utilizes YOLO (You Only Look Once) for precise and efficient detection of plant diseases from images.
- Comprehensive Information: Offers detailed insights into identified diseases, including recommended cures, prevention methods, and treatments.
- User-Friendly Interface: Intuitive and easy-to-use interface developed using React for seamless interaction with the application.
- Scalable Backend: Powered by Node.js and Express, ensuring robustness and scalability in handling user requests and data processing.
- API Integration: Flask API facilitates seamless communication between the image processing module and the Node.js server.
- Python: YOLO is implemented for image processing tasks.
- Node.js and Express: Backend server development for handling user requests and data processing.
- React: Frontend development for creating an interactive and user-friendly interface.
- Flask: API development to connect the image processing module with the Node.js server.
- Clone the Repository:
- Navigate to the Project Directory:
cd Green-Guardian
- Install Dependencies:
- Backend:
cd Backend npm install
- Frontend:
cd Frontend npm install
- Machine-Learning
cd Machine-Learning pip install -r requirements.txt
- Backend:
- Run the Application:
- Backend:
cd Backend npm start # npm run dev for development server
- Frontend:
cd frontend npm start
- Machine-Learning
python main.py
- Backend:
- Upload Images: Upload images of plants with suspected diseases.
- View Results: Green-Guardian will swiftly process the images and provide information on identified diseases along with recommended actions.
- Take Action: Based on the provided insights, take necessary actions such as applying cures, implementing prevention measures, or treatments to protect your crops.
- [Shail Pujan]
- [Shruti Murthy]
- [Ipsa]
- [Shailini Singh]
Contributions to Green-Guardian are welcome! Here's how you can contribute:
- Fork the repository.
- Create a new branch.
- Make your contributions.
- Submit a pull request.
- Special thanks to the developers and contributors of YOLO, Node.js, Express, React, and Flask for their invaluable contributions to the open-source community.