DAISY is an AI-powered dermatological diagnostic system designed to help users quickly and confidently identify skin conditions such as tinea versicolor (panu) and ringworm through mobile image analysis.

🎓 Capstone Project — Bangkit Academy 2024 Batch 2

• 🔐 Authentication System
  • Register, Login, and Reset Password
• 🤖 AI-based Diagnosis
  • Upload or capture image of skin condition
  • Deep Learning model predicts skin disease
  • Confidence-based treatment recommendations
• ✂️ Image Cropping with UCrop
• 👤 User Profile Management
  • View and edit basic user details
  • Logout and account-related settings

• Language: Kotlin
• Architecture: MVVM (Model-View-ViewModel)
• Jetpack Components: LiveData, ViewModel, Navigation Component
• Networking: Retrofit
• Image Cropping: UCrop
• Machine Learning Integration: TensorFlow Lite (.tflite model)
• Cloud & Auth: Firebase Authentication & Firebase Storage

• Trained using a dataset of labeled skin condition images
• Output: Predicted disease and recommended treatment
• Accuracy: 74%
• Format: TensorFlow Lite (.tflite)

com.example.daisyapp
│
├── data
│   ├── adapter/           # RecyclerView adapters and view holders
│   ├── helper/            # Helper classes and utilities
│   ├── injection/         # Dependency injection providers
│   ├── model/             # Data models
│   ├── preference/        # SharedPreferences handler
│   ├── repository/        # Repository pattern implementation
│   ├── response/          # API response models
│   ├── retrofit/          # Retrofit API service
│   ├── room/              # Local database access objects (DAO)
│   └── utils/             # General utility classes
│
├── view
│   ├── customview/        # Custom UI components (e.g., buttons, dialogs)
│   ├── ui/                # UI fragments/activities for login, scan, profile, etc.
│   └── viewmodel/         # ViewModel classes handling UI logic
│
└── MainActivity.kt        # Entry point of the application

1. Clone this repository

   git clone https://github.com/your-username/daisy-dermatology-app.git

2. Open in Android Studio

3. Set up Firebase

   • Add google-services.json to app/ directory
   • Enable Firebase Authentication and Storage

4. Run the app on a device or emulator

This application was built as a collaborative Capstone Project under Bangkit Academy 2024 Batch 2, involving:

• Mobile Development Team (Kotlin + MVVM)
• Machine Learning Team (Model training + TFLite)
• Cloud Computing Team (Firebase + Hosting)
• UI/UX Team (Mockups & Design)

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