Online Examination Proctoring System Using Artificial Intelligence

Authors

  • Divya Agrawal Department of Computer Science and Engineering Shri Sant Gajanan Maharaj College of Engineering Shegaon, India
  • Prof. K. P. Sable Department of Computer Science and Engineering Shri Sant Gajanan Maharaj College of Engineering Shegaon, India
  • Radhika Maloo Department of Computer Science and Engineering Shri Sant Gajanan Maharaj College of Engineering Shegaon, India
  • Shachi Chaware Department of Computer Science and Engineering Shri Sant Gajanan Maharaj College of Engineering Shegaon, India
  • Suved Bhagwat Department of Computer Science and Engineering Shri Sant Gajanan Maharaj College of Engineering Shegaon, India
  • Tanishq Nanda Department of Computer Science and Engineering Shri Sant Gajanan Maharaj College of Engineering Shegaon, India

Keywords:

Proctoring System, Convolutional Neural Network(CNN), Online Examination System, Remote Proctoring

Abstract

AbstractThe scalability of the next level of education is significantly constrained by the capacity to effectively proctor distant online exams. The most popular method of evaluation at the moment is human proctoring, which involves either requiring test-takers to go to a testing facility or watching them on a webcam visually and audibly while they complete the exam. Monitoring student attendance is crucial in online learning because student presence contributes to effective teaching and learning assessments. However, these techniques are expensive and labor-intensive. Additionally, there is a growing movement towards Online Courses, which allow students to enrol in courses that will broaden their knowledge and creative potential. Instead of traditional classroom teaching a student can take a course from anywhere in the world using a computer. The certificates for Online Courses should be provided after the student gives a proctored examination. Hence some kind of online portals are needed for a trustworthy proctoring of online examination Our portal will help in automating the proctoring the online examinations. This portal will track the exam givers – eye ball movement, lip movement, audio tracking, phone detection, person counting.
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Published

2023-06-01

How to Cite

Divya Agrawal, Prof. K. P. Sable, Radhika Maloo, Shachi Chaware, Suved Bhagwat, & Tanishq Nanda. (2023). Online Examination Proctoring System Using Artificial Intelligence . SSGM Journal of Science and Engineering, 1(1), 91–94. Retrieved from https://ssgmjournal.in/index.php/ssgm/article/view/73