Driving Monitoring System

•Machine learning Mobile Application.

•The application aims to detect and classify two main behaviors: drowsiness and distraction of the driver, in the case of drowsiness, the application will alert the driver through a sound, for instances of distraction the application will also identify and record these behaviors.

•Implemented an automated reporting system within the application.

•Using: Node.js, SOLID, Flask, python, Postman, Git, VS Code IDE