Exam Proctoring System Using Machine Learning

The proliferation of digital learning platforms has necessitated robust methodologies to supervise examinations and maintain academic integrity. Secure Exam Proctoring System emerges as a contemporary solution designed to revolutionize online exam proctoring through the utilization of sophisticated technologies such as artificial intelligence, computer vision and machine learning. This study investigates the architecture, design, and components of Secure Exam Proctoring System, emphasizing its capacity to safeguard the fairness and authenticity of virtual assessments. By continuously monitoring student behavior in real-time and implementing features such as facial recognition, audio detection, head movement analysis, and cheating prevention mechanisms. Secure Proctor provides a comprehensive approach to conducting secure and impartial online examinations. With its focus on harnessing state-of-the-art technologies, Secure Exam Proctoring System aims to address the evolving demands of digital education while preserving the fundamental principles of academic honesty and equity.