tCardio

A SmartWatch app built on WearOS that helps in heart disease prediction.
Explore the docs »

Screenshots · Report Bug · Request Feature

Table of Contents

1. About The Project
   • Built With
2. Screenshots

About The Project

Built With

1. 

This was the engine for the smartwatch app. The app used the Health Services API for collecting the heath data. More specifically, it used the PassiveMonitoringClient. WearOS runs on Android technology which is described next.

2. and

Using these, I was able to use:

• Model-View-ViewModel(MVVM) architecture
• Dependency Injection using Dagger and Hilt
• Coroutines and WorkManager for the background sensing
• Room ORM library for data storage
• Both Jetpack Compose and Views

3. 

I used TFLite which was gotten after converting the TensorFlow model. I used it for predicting the heart attack probability.

4. 

It was used for creating the TensorFlow model.

5. 

It was used for creating the TensorFlow model.

6. 

It was used for creating the TensorFlow model.

7. 

It was used for creating the TensorFlow model.

Screenshots