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This lecture introduces AI Attendance Systems, exploring their purpose, applications, and advantages over traditional methods. It covers system architecture, including frontend, backend, AI modules, and data storage, outlining their interaction and data flow. Emphasis is placed on functionalities like face recognition, automation, and accuracy while addressing challenges such as security and environmental constraints. Students will gain insights into system design, key subsystems, data flow,...