Maintaining integrity during examinations is important in educational institutions. Traditional methods such as manual in vigilance are labor-intensive and are often ineffective against immunization and misconduct. This paper presents an automated face recognition system using machine learning to verify the student identity in the examination hall. The system appoints the Convolutional Neural Network (CNN) for facial detection and recognition to ensure safe, real -time monitoring. This solution reduces human dependence, improves accuracy, and strengthens examination safety.

Keywords: face identity, CNN, real -time monitoring, student authentication, examination safety, deep education.