Classroom Monitoring & Academic Security
An automated cheating detection project designed for the University of Sindh Jamshoro, under supervision of Mr. Fayaz Memon.
Project Development Team
Final year project candidates and supervisory board at the Department of Computer Science.
Abdul Malik
Lead DeveloperStudent of Batch 2K23, Department of Computer Science, University of Sindh, Jamshoro.
Jawad Mustafa
Frontend DesignerStudent of Batch 2K23, Department of Computer Science, University of Sindh, Jamshoro.
Mr. Fayaz Memon
Assistant ProfessorSupervisor, Department of Computer Science, University of Sindh, Jamshoro.
Pillars of Integrity
This system is designed to automate cheating detection in physical exam rooms. By automatically screening camera feeds, it flags anomalous behaviors to assist human proctors.
AI Flags, Proctors Decide: We advocate ethical automation. The AI alerts to anomalies but leaves all validation decisions to human supervisors.
Classroom Feeds: Integrates directly with existing exam room security cameras.
Automated Alerts
Uses smart tracking metrics to look for abnormal student movements and actions.
Privacy Safeguards
Processes details locally on-site without recording personal identifiers.