Proctoring and Monitoring-Based Examination System

Abstract

Abstract: Due to COVID-19, Online Examination hasgained the most popularity over the previous year across all educational sectors. However, the institutions are having a lot of trouble with the proctoring procedures. There must be a solution found if the way we live is to become the new norm.In this project, we put up a plan to create an AI-based integrated system that can aid in avoiding exam cheating, as well as various methods and technologies that would allowthe proctor to be absent from the exam at all times. Our AI- based algorithm will be able to recognize any irregularities in an exam. Our system guarantees a moral examination atmosphere free of unethical behavior. Our technology monitors the activities of students who attend school in distant locations. Our method can aid in the detection and prevention of exam-related cheating. You can conduct your entire exam without using any paper. By switching to our technology, we can significantly reduce the cost of managing and administering exams. Our solution is compatible with the conventional exam method. The emergence of the online examination system (OES) is the best example of these reforms, and the monitoring system is intended to assure the fairness and impartiality of the OES. The growth of modern educational technology has pushed changes in teaching patterns and examination patterns. The paper describes the OES and monitoring system's structure and operation, highlights the major issues with communication and security, and offers remedies. The network examination criteria have been met by the system. In this project, we've suggested a way to stop exam cheating by creating an AI-basedintegrated system. We've also provided several methods and tools that eliminate the need for the proctor to be present during the exam. Any unfairness in a test will be detectable by our AI-based approach. Here, we offer methods and resources that eliminate the requirement for the proctor to be present for the entire exam. Any unfairness in a test will be detectable by our AI-based approach. Here, we offer methods and resources that eliminate the requirement for the proctor to be present for the entire exam. Neural networks and machine learning are the foundation of this. Our AI- based technology will be able to recognize any unethical exam practices. Our tests showed that the suggestedsystem is superior to the ones already in use