Starstec is an Android application built using modern Android development technologies such as Hilt for dependency injection, MVVM architecture, Room for local database, Retrofit for network communication, ExoPlayer for multimedia playback, Coroutines for asynchronous programming, TensorFlow Lite for machine learning inference, Glide for image loading, Firebase for realtime database and authentication and Material Design 3 components.
- Central Bluetooth Low Energy (BLE) application connecting to wearable devices with PPG and GSR sensors.
- Monitoring and interpretation of Heart Rate Variability (HRV) and Skin Conductivy Response (SCR) data.
- Deep learning-based stress level assessment for e-sports athletes.
- Supporting e-sports athletes in managing well-being and optimizing performance.
- Hilt
- MVVM Architecture
- Room Database
- Retrofit
- Firebase
- ExoPlayer
- Coroutines
- TensorFlow Lite
- Glide
- Material Design 3
- Clone the repository.
- Open the project in Android Studio.
- Build and run the app on your device.
Contributions are welcome! Feel free to open an issue or submit a pull request.
Website : starstec.id
This project is licensed under the MIT License.
Note: This description provides an overview of the features and goals of the Starstec application. It incorporates advanced Android development technologies and leverages BLE communication, sensor data interpretation, and machine learning for stress level analysis in e-sports athletes.