On the frontend, when creating a monitor, it is necessary for him to send a validation file of his qualifications, but when he chooses the file, the app closes.

Adding the functions and classes necessary to develop, the Artificial INtelligence ML Kit pose detection

Create a WebSocket on Android with OkHttp to establish a bidirectional communication with the server, avoiding polling requests.

Do a technical report and documentation of the HTTP API required for a front-end client application to use this API. This documentation should not include any information about the internal backend implementation.

Using the Pose Detection on a live video and retrieving information about the 33 points model

Even without the app being active, using a WorkManager is possible to send a video stored locally to the cloud storage

Limits the recording time of a video and sends it to the storage

Physical therapists have to create plans of exercises, They are able to see wich plans have created. The client that have said plan assigned to can see the plan and can upload the video of making each exercise.

This screen will check if the user is registered in the app, if so, the necessary requests to the API will be made and then the home page will appear, if not, the registration screen will be displayed.

Should send a video for each set made,

This role will serve for app maintenance, such as:

• validate a monitor's authentication document
• add exercises to the exercises library, assigning their title, description and preview.

Sucessfully records and saves a video using the pose detection in the cloud storage