FloraScanner is a mobile application built with React Native that allows users to identify plant species by analyzing images. This project uses a Convolutional Neural Network (CNN) model for image classification and provides detailed information about the identified plant species, including its medicinal properties.

• User-friendly interface for capturing and uploading plant images.
• Real-time image analysis using a trained Convolutional Neural Network (CNN) model.
• Provides detailed information about identified plant species, including medicinal and ecological benefits.
• Option to save identified plants to a local database for future reference.
• Cross-platform compatibility (iOS and Android).

• React Native: For building the mobile application.
• Firebase: For user authentication and storing plant information.
• TensorFlow: Used for the CNN model to classify plant species.
• FastAPI: Backend to serve the trained model and provide identification results.

Backend Repo

You can download the APK of the FloraScanner app from the link below:

Download FloraScanner APK

1. Clone the repository:

   git clone https://github.com/B-a-b-u/FloraScanner.git
   cd FloraScanner

2. Install dependencies:

   npm install

3. Run the app on an emulator or connected device:

   npm run android
   # or for iOS
   npm run ios

• kaggle

Contributions are welcome! Please follow these steps to contribute:

1. Fork the repository.
2. Create a feature branch: git checkout -b feature-branch-name
3. Commit your changes: git commit -m 'Add some feature'
4. Push to the branch: git push origin feature-branch-name
5. Open a pull request.