Smart e-learning system using adaptive video lecture delivery based on attentiveness of the viewer

A Smart E-Learning system using adaptive video lecture delivery based on attentiveness of the viewer, the said system comprising:

• a. a webcam or any sensory input (200) for capturing facial expressions or cognitive responses to calculate attentiveness level (210);
• b. a client machine (201) as user console comprising:
• Video lecture segments (204) played as eLearning contents on display (203);
• Measure and analyze Attentiveness module (205) wherein the module is a trained model based on A I/ML (Artificial Intelligence/Machine learning) techniques for measuring and analyzing the attentiveness level as continuous feedback (210) of the viewer;
• c. a server machine (202) as a backend processing unit comprising:
• next segment predictor (206) is an incremental training model based on A I/ML techniques which finds correlation between viewer's attentiveness level and video lecture segment played;
• using user's previous responses (208), continuous feedback of viewer as its attentiveness level (210), wherein next video content segment (209) is selected by next segment predictor (206) from other related video content segments stored on server machine (202);
• this selected segment is given as server next (211) response to client machine (201) to be played as next video content.