StudyFilm Focus Features

A system to enhance user engagement by calculating and visualizing a focus score of a user using an online learning platform comprises:

• one or more processors of a computer system;
• a memory, coupled to the one or more processors, that stores code and execution of the code by the one or more processors causes the computer system to perform operations comprising:
• capturing input data from a plurality of sources using a data collector, wherein the plurality of sources include webcam, screen content, and application usage;
• processing the captured input data using an analyzer and providing it to an AI engine that utilizes machine learning algorithms to:
• determine if the user is physically present in front of the webcam or not by utilizing a presence detection algorithm;
• identify idleness of the user by detecting changes in the screen content by utilizing a screen change detection algorithm;
• and
• identify whether the focus of the user is on the online learning application, or some other browser page or application by utilizing an app focus algorithm;
• calculating the focus score of the user by utilizing the processed data using a focus score calculator, wherein the focus score is re-calculated every second to determine the user's current level of engagement while using the online learning platform;
• presenting the calculated focus score to the user in real-time, along with an issue count, current status, or ongoing issue related to the user's current level of engagement, visually color-coded feedback.