Proctor Secure: Revolutionizing Exam Integrity with AI-Powered Proctoring (KEY IJP************516)

• Harsh Raghuvanshi

Abstract

This project presents Proctor Secure, an innovative AI-powered system designed to detect and prevent suspicious activities during online examinations, thereby upholding academic integrity in virtual learning environments. As online education continues to expand, the demand for secure and reliable assessment methods has become increasingly critical. Leveraging advanced Python libraries such as OpenCV and MediaPipe, Proctor Secure seamlessly integrates cutting-edge technologies, including speech recognition, head motion tracking, and anti-cheating algorithms, to monitor student behavior in real time. By systematically analyzing audio inputs and tracking head movements, the system effectively identifies irregular or suspicious activities, ensuring a fair and transparent examination process.To enhance usability and build trust, Proctor Secure offers continuous graphical representations, allowing educators to monitor and evaluate student activities with ease. Rigorous testing has demonstrated the system's robustness in accurately detecting dishonest practices, providing a reliable solution for maintaining examination integrity. Furthermore, Proctor Secure is engineered for scalability, making it adaptable to a wide range of examination settings, from small academic institutions to large-scale certification organizations. By combining innovation with practicality, Proctor Secure establishes a new benchmark for secure online assessments.