Android App for Health Tracking - final project in IOT course.

app.mp4

The project includes receiving, processing and presenting data from the following sensors:

1. IMU 9-DOF -used to count user's steps in real time.
2. MAX301002 -used to measure and display user's BPM and %SPO2 in real time.

Ardunino code for ESP32 can be found here:

app
    ↳ src
        ↳ main
            ↳ arduino
                ↳ arduinoESP32
                    ↳ arduinoESP32.ino

Track User's Location in Real Time.

Location tracker is created using Google APIs.

1. Create new firebase project
2. Download google-services.json for your app and replace current file.
        app
            ↳ google-services.json
3. Create new API key in Google Cloud Platform and paste in in:
        app
            ↳ src
                ↳ main
                    ↳ res
                        ↳ values
                            ↳ strings.xml
                            
4. Restrict the API key to following selected APIs:
  - Selected APIs:
  - Directions API
  - Distance Matrix API
  - Firebase Installations API
  - Geocoding API
  - Geolocation API
  - Maps JavaScript API
  - Maps SDK for Android
  - Places API

Prediction of Activity Type (walking\running) and Number of Steps:

To run prediction algorithms, view calcStepsAlgoJupyter.ipynb file.
Sample files can be found in "data" folder  

        app
            ↳ src
                ↳ main
                    ↳ python
                        ↳ calcStepsAlgoJupyter.ipynb
                        ↳ data