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Join BetaExisting methods are manual, time-consuming, and only slow cheating but don't reliably detect or prevent it, especially as students adapt.
A mobile app that uses AI audio and motion sensing to monitor test-taking environments. It detects suspicious behaviors (e.g., whispering, phone handling) and logs timestamps, allowing teachers to review flagged moments. Integrates with phone camera for periodic random photo captures to verify test integrity.
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