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The problem addressed by an online proctoring system lies in the growing needfor a reliable and secure method of monitoring and invigilating online exams. With theincreasing popularity of remote learning and online education, educational institutionsface significant challenges in maintaining the integrity and credibility of assessmentsconducted in virtual environments. The absence of physical supervision during examscreates an environment where test-takers may be more inclined to engage in dishonestpractices, such as cheating or unauthorized collaboration. Ensuring exam integritybecomes a critical concern, as educational institutions strive to provide fair and accurateassessments that truly reflect the knowledge and abilities of the test-takers. Therefore,the problem is to develop an automated online proctoring system that effectively detectsand deters cheating behaviors, creating a controlled assessment environment that upholdsthe validity and reliability of online exams.

Python 3.10.4, Deep learning frameworks (PyTorch, TensorFlow, Keras),OpenCV,Dlib,Flask,HTML5 and CSS3