Developed in the scope of a final bachelor degree project in Computer Science and Engineering, at ISEL.
The Intelligent Personalized Care project aims to respond to the rapidly increasing sedentary lifestyle and isolation of the population. Using advanced vision techniques to provide personalized and effective remote care for patients in different health scenarios, it will be possible to reduce and prevent sedentary lifestyle, and promote physical exercise and rehabilitation in people.
This project is based on an Android application to promote physical agility and recovery, through (tele) exercise and (tele) rehabilitation using immersive approaches with vision techniques and artificial intelligence. In addition, the application will offer advanced patient monitoring and follow-up features, allowing physiotherapists to monitor the patient progress.
The project's final report is available here.
You can find additional documentation in the docs folder.
We focused on choosing Kotlin as the master language, both in the backend and frontend. There are some Java classes created by Google, which are used to handle the ML Kit Pose Detection. We are using PostgreSQL in the database.
This project uses the following open source packages:
Scan this Qr Code to download the app:
Here are some dummy accounts to login and experiment:
-
Client:
- email: [email protected]
- password: @Password1
-
Monitor:
- email: [email protected]
- password: @Password1
Special Thanks to the Muscle Wiki organization, from where we took our exercise videos and most of our exercise descriptions.
To access their website.
- Paulo Pereira , ISEL