
Real-Time Exam Cheating Detection (FYP)
ML-based system using YOLO object detection identifying cheating behaviors (smartwatch, mobile, paper switching, earpods) with ~94% accuracy. Three modes: live monitoring, recorded video analysis, and online exam monitoring via webcam. Deployable on CPU, GPU, or Raspberry Pi. Research paper submitted for publication.
Tech: Python · YOLO · OpenCV · Raspberry Pi · Computer Vision




