A Flutter-based mobile application for Maize Plant Disease Detection using Convolutional Neural Networks (CNN). This app provides a comprehensive solution for identifying maize plant diseases, their symptoms, treatments, generating PDF reports, and enabling user feedback to administrators.

• Firebase Signup & Sign-In: Securely register and log in with your email and password.

• Image Pick & Capture: Easily choose images from the gallery or capture them using the in-app camera.

• Disease Identification: Utilizes a CNN model to identify maize plant diseases and provide information about them.

• Symptoms and Treatments: Detailed information about the symptoms and suggested treatments for identified diseases.

• PDF Report Generation: Create PDF reports with disease images and relevant details.

• Feedback to Admin: Provide feedback to administrators to help improve the app.

• Contributor: [Your Name]

• API Deployment: The backend API for disease detection is deployed on Render.com. The API endpoints are accessible through this mobile app.

To run this Flutter application, follow these steps:

1. Clone the Repository:

   git clone /~https://github.com/[your-username]/[your-repo-name].git
   cd [your-repo-name]

2. Firebase Configuration:

   • Create a new Firebase project on the Firebase Console.
   • Configure Firebase for your app and download the google-services.json file.
   • Place the google-services.json in the android/app directory.
   • Add the necessary Firebase SDK dependencies to your android/app/build.gradle and android/build.gradle files.

3. Flutter Dependencies:

   Run the following command to install Flutter dependencies:

   flutter pub get

4. Run the App:

   Use the following command to run the app on an emulator or connected device:

   flutter run

You will need to configure the Firebase project with your own settings. Make sure to update the Firebase configuration files and adjust the app's Firebase settings as needed.

Contributions are welcome! If you'd like to improve this project, please open an issue or submit a pull request with your changes.

This project is licensed under the MIT License - see the LICENSE file for details.

If you find this project useful, please consider giving it a star on GitHub to show your support.

Your support is greatly appreciated!

• Thanks to the Flutter and Firebase communities for their valuable resources and documentation.