Plentify is a modern Android application that uses AI-powered flower recognition to identify flowers instantly from photos taken with your device or selected from your gallery.

With support for Tulip, Sunflower, Rose, Dandelion, and Daisy, Plentify delivers high accuracy (~85%) using a TensorFlow Lite MobileNetV2 model, all processed locally without sending images to external servers.
The app features Firebase Authentication for user accounts, enabling logged-in users to save and view their classification history. Guests can still enjoy instant flower identification without account creation.
Built in Android Studio Giraffe with a clean UI, Plentify is perfect for developers, students, or anyone looking for an AI-based plant/flower recognition solution.

AI Flower Classification (using TFLite + MobileNetV2, preprocessing included)

Camera & Gallery Support for flower image input.

Android Studio Giraffe (or later)

Minimum Android version: 28 (Android 9)

Instructions (Setup)

1. Install Android Studio Giraffe.
2. Open the project (Plentify) in Android Studio.
3. Download and add google-services.json from your Firebase project into the app/ folder.
4. Enable Authentication (Email/Password or Google) in Firebase Console.
5. Set up Realtime Database with rules for authenticated users.
6. Sync Gradle, build the project, and run it on a device/emulator.

Instructions (Usage)

1. Launch the app.
2. Log in or register with Firebase (or continue as guest).
3. Take a flower photo with the camera or choose from the gallery.
4. View the classification result (e.g., Tulip, Rose).
5. If logged in, check your analysis history.
6. Visit the About page for app details and Privacy Policy.