Welcome to the twinCoach, an Android application built using modern development principles to empower athletes by predicting their performance in long-distance running races. This project integrates Health Connect to analyze training data and provide personalized recommendations for optimized performance.
- Health Connect Integration: Access real-time training session data seamlessly.
- Performance Prediction: Get insights into your long-distance race performance based on current training patterns.
- Goal-Oriented Training: Input your race goals and receive personalized training session suggestions.
- Interactive Dashboard: View processed performance analytics and progress towards goals.
This project is developed using:
- Android (Kotlin): The primary framework for the application.
- MVVM Architecture: Ensures separation of concerns and easier maintainability.
- Retrofit: Simplifies API communication for data retrieval and submission.
- Clean Architecture: Provides a scalable and testable code structure.
- Health Connect: Enables seamless access to health and fitness data.
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Data Collection:
The app retrieves training session data (e.g., running distance, pace, heart rate) via Health Connect. -
Data Processing:
The collected data is sent to a backend server that uses advanced algorithms to analyze performance and predict race outcomes. -
Insights and Recommendations:
Processed results are displayed in the app, along with training session suggestions tailored to the athlete's goals and current progress.
The Digital Twin Dashboard is ideal for:
- Athletes preparing for long-distance races.
- Coaches and trainers looking to optimize their athlete’s training regimen.
- Fitness enthusiasts tracking their progress and setting ambitious goals.
