Artificial intelligence analyses candidate behaviour during CBT exams and flags suspicious activity for human review by the Examination Cell.
Tab Switch Alert
Instant flag on window change
Face Detection
Multiple faces or absence detected
Audio Analysis
Background voice detection
Risk Score
Auto risk rating per candidate
AI Detection Features
Machine learning models trained on 2 million exam sessions detect tab switches, secondary devices, whispering and face mismatch. False positives reviewed by human proctors before any action.
98.5%Detection Rate
<2%False Positives
24hrReview SLA
AI+HumanDual Review
