Smart Online Examination System

With the rapid growth of online learning, conducting secure and fair examinations has become a critical challenge. Traditional methods of invigilation are impractical in virtual environments. This paper presents an AI Proctored Exam System, which integrates Artificial Intelligence with web technologies to monitor students in real-time during online examinations. The system uses computer vision, machine learning, and behavior analysis to detect cheating activities, such as the presence of multiple faces, mobile phone usage, or suspicious eye movements. The proposed solution enhances academic integrity while reducing the workload of human invigilators.