Proctored online exams at scale, using edge-offload AI with in-house models and no third-party AI dependency
Candidates take exams in a locked browser while in-house AI models watch for impersonation, additional people, devices and suspicious behaviour. The heavy analysis runs on the candidate's own device (edge offload), which keeps server load and bandwidth low on exam day and keeps video off third-party AI services. Flags go to trained human reviewers, so no candidate is penalised on a machine's judgement alone. Notices and consent for proctoring data follow the DPDP Act, including parental consent for candidates under 18.
Deliverables
- Secure exam browser with identity check at start
- Edge-offload AI proctoring with in-house models
- Human review queue and a written decision for every flag
- Proctoring data retention and deletion per your policy
- Exam-day command centre and candidate help desk