Gen AI-Enabled Robot-Student Interaction for Examination Invigilation

Examinations are key to assessing student knowledge, but traditional invigilation methods face issues like human error, bias, and fatigue. These challenges are heightened in large-scale or remote exams. Automated invigilation systems using AI and computer vision help detect malpractice in real time, improving fairness and efficiency. This technology reduces human workload, enhances security, and ensures academic integrity.
System Demo

Robot Invigilating Exam Hall
Research Students

Thimira Thiwanka

Ravindu Wijewardhana
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