NAS Net Plant Recognition App

A cross-platform mobile application for plant recognition using NASNetMobile architecture.

Project Overview

This application allows users to identify plants by taking or uploading photos. It uses a deep learning model based on the NASNetMobile architecture, providing accurate plant recognition across different platforms (iOS, Android, and Web).

Features

• Cross-platform support (iOS, Android, Web)
• Real-time plant recognition
• Camera integration for photo capture
• Gallery access for existing photos
• User-friendly interface
• Fast and accurate plant identification

Technical Stack

• Frontend: Flutter/Dart
• Machine Learning: TensorFlow, NASNetMobile architecture
• Backend: Python (for model training and optimization)

Project Structure

nas_net_plant/
├── plant_recognition_app/     # Flutter application
│   ├── lib/
│   │   ├── main.dart         # Application entry point
│   │   └── platform/         # Platform-specific implementations
│   │       ├── mobile_model.dart
│   │       └── web_model.dart
├── model/                    # Machine learning model files
│   ├── model.py             # Model definition
│   └── test_model.py        # Model testing
└── README.md

Prerequisites

• Flutter SDK
• Dart SDK
• Python 3.11+
• TensorFlow
• iOS/Android development environment (for mobile deployment)

Installation

1. Clone the repository:

git clone https://github.com/Busrapehlivan/nas_net_plant.git
cd nas_net_plant

2. Install Flutter dependencies:

cd plant_recognition_app
flutter pub get

3. Install Python dependencies:

pip install -r requirements.txt

Model Files

The model files are not included in the repository due to their size. You can:

• Download them from [release page] (coming soon)
• Generate them using the training scripts

Running the Application

Mobile

cd plant_recognition_app
flutter run

Web

cd plant_recognition_app
flutter run -d chrome

Development

• The application uses a platform-specific approach for model loading and inference
• Mobile and web implementations are separated for optimal performance
• The Flutter app provides a unified interface across platforms

Contributing

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

License

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

Contact

Büşra Pehlivan - @github

Project Link: https://github.com/Busrapehlivan/nas_net_plant