Vidhai is an application designed to facilitate farmers in connecting with fellow farmers and selling their produced goods directly to customers. Additionally, it integrates a plant disease detection system with a recommendation engine to suggest necessary remedies for curing detected diseases.

• Farmer's Marketplace: Farmers can create listings to sell their produce directly to customers.
• Plant Disease Detection: Utilizes a custom YOLOv8 model to detect plant diseases from images.
• Recommendation Engine: Provides recommendations for necessary remedies to cure detected plant diseases.
• Flutter Application: Built using the Flutter framework for cross-platform mobile applications.
• Roboflow for Annotation: Plant disease detection model training data annotated using Roboflow.
• API Integration: Connected to the frontend via API for seamless communication.

1. Clone the repository: git clone <repository_url>
2. Navigate to the project directory: cd Vidhai
3. Install dependencies: flutter pub get
4. Run the application: flutter run

1. Annotate images using Roboflow.
2. Train the custom YOLOv8 model using the annotated data.
3. Convert the trained model into a format compatible with Flutter.

• Ensure the backend API endpoints are correctly configured in the Flutter application.
• Use appropriate API calls to fetch data related to listings, plant diseases, and recommendations.

Contributions are welcome! Please fork the repository and submit pull requests for any improvements or bug fixes.

This project is licensed under the MIT License.