Centralized AI Process Monitoring System

Authors: Abinash Bir, Aanchal Kumari, Abhishek Rai, Bhaskar Gautam

Abstract: Now a days online education is increasing very fast and many exams are conducted in remote mode. Because of this flexibility, students can give exams from home or any place which is very convenient and useful for them. But along with this advantage, cheating methods are also increasing very fast because of AI tools, internet and different smart devices. Students can easily search answers, use AI tools, open multiple tabs, switch screens or even take help from another person sitting near them without getting noticed properly. This paper presents a smart monitoring system using artificial intelligence to reduce cheating in online exams. The system combine multiple modules like identity verification, behaviour tracking, environment monitoring and content checking. These modules continuously observe student activity and send data to centralized system where all analysis is done together. This makes system more effective and reliable compared to single method systems. The main goal of this system is to create a fair environment for all students. Honest students should not feel disadvantage because of others cheating. But there are some issues like privacy concerns, wrong detection and mental stress on students. Sometimes system can detect normal behaviour as suspicious which is not correct and may create problem for students. So it is very important to use AI system along with human judgement. This paper explain working of system, its advantages, limitations and possible improvements in future in simple and understandable way.