Online Exam Portal Using Machine Learning and Face Detection
Prof. A. A. Bamanikar, Aniket Patil, Dheeraj Singh, Mayuresh Kumbhar, Vaishnavi Badhe · International Journal for Research in Applied Science and Engineering Technology · 2023
Abstract: With the expansion of Internet and technology over the past decade, E-learning has grown exponentially day by day. Cheating in exams has been a widespread phenomenon all over the world regardless of the levels of development. Therefore, detection of traditional cheating methods may no longer be wholly successful to fully prevent cheating during examinations. Online examination is an integral and vital component of E-learning. Student’s exams in E- learning are remotely submitted without any monitoring from physical proctors. As a result of being able to easily cheat during e-exams, E-learning universities depend on an examination process in which students take a face-to-face examination in a physical place allocated at the institution premises under supervised conditions, however these conflicts with the concept of distant E-learning environment.