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The Cheating Surveillance System is designed to detect cheating during Online Interviews/Exams by monitoring head and pupil movements and identifying unauthorized mobile phone usage. This system integrates facial landmark detection with Shape Predictor 68 and object detection using YOLO, trained on a cellphone detection dataset from Roboflow.

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This project detects cheating by tracking head and pupil movements using the Shape Predictor 68 facial landmarks. It also detects mobile phones with a YOLO model trained on the Roboflow cellphone detection dataset. Designed for real-time monitoring, it helps prevent cheating by analyzing facial cues and unauthorized device usage.

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