A mobile application developed for Android and iOS devices that takes the same user credentials as the institution's LMS for login. Therefore, simplifying the students' access without having to memorize multiple passwords. To start the verification for a specific activity, the user simply reads a QR code from the online page and begin the process. The application is responsible for performing the user's face recognition using artificial intelligence, and sending it to the backend. It also sends back the current device's location to match with the browser being used.

The activity monitor, as the name implies, is responsible for monitoring the user's activity or behavior during a test or quiz. It detects any program running during the activity and compares with a unwanted apps list created by the professor. If it finds a match, it reports back with visual evidences, such as print screens. The monitor also have camera and audio capabilities. The camera detects the student's presence in front of the computer. It validates if there are more than one person using the machine or if there is no one. The microphone records audio during the time performing the test and if suspicious, it includes evidences in the reports.