Abstract:

Online education is becoming increasingly popular around the world, including in India. A lot of institutions, colleges, and universities are moving to an online format for lectures and tests. Teachers and students engage electronically during live or online classes. Comparatively speaking, running online classrooms is simpler than running online tests. The standard technique of administering tests is inefficient, and as a result, many malpractices might occur, failing to follow the laws and regulations. During an exam, a participant may attempt to open a new browser or window to seek answers on the internet using the Secure Browser method with Online Proctoring. This compromises the Online Exam's legitimacy. There are relatively few technologies that are embedding the concepts of proctoring and evaluation. During the examination, the secure browser technology restricts he user from accessing any other windows. In this paper, we provide a multimedia analytics system for automatic and continuous online exam proctoring. This system consists of five main components that estimate user verification, audio surveillance, actively identifying windows, eye tracking, and Real-time detection of mobile devices. This project’s domain will be connected to online test proctoring, as well as mark evaluation and prediction

Description:

Artificial Intelligence, Exams, Online proctoring system, Malpractices, User verification, Face angle estimation, Face recognition, Audio evaluation.