Chicken AI is a mobile application designed to detect poultry diseases from images of poultry fecal matter. It leverages advanced image processing techniques and a machine learning model to provide accurate diagnoses, helping poultry farmers manage the health of their flocks effectively.
- Disease Detection: Identify various poultry diseases based on fecal images.
- User-Friendly Interface: Easy-to-use interface for uploading and analyzing images.
- Real-Time Analysis: Get results in real-time.
- Offline Mode: Works without an internet connection after initial setup.
- High Accuracy: Utilizes a TensorFlow Lite model trained with 6000 images using the DenseNet architecture, achieving 98% accuracy.
You can download the APK file for the application from the link below:
To install and run this Flutter application, follow these steps:
- Clone the repository:
git clone https://github.com/oualidrouabah/poultry-disease-detection.git
- Navigate to the project directory:
cd poultry-disease-detection - Ensure you have Flutter installed. If not, follow the instructions here.
- Get the dependencies:
flutter pub get
- Run the application:
flutter run
- Open the application on your mobile device.
- Take a picture of the poultry fecal matter or upload an existing image.
- View the diagnosis and suggested actions.
We welcome contributions from the community. To contribute:
- Fork the repository.
- Create a new branch:
git checkout -b feature/your-feature-name
- Make your changes.
- Commit your changes:
git commit -m 'Add some feature' - Push to the branch:
git push origin feature/your-feature-name
- Open a pull request.
This project is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License. See the LICENSE file for details.
Feel free to reach out if you have any questions or need further assistance!
Contact Information:
- Email: oualidrouabah56@gmail.com
- Twitter: @RouabahOualid