Abstract
The capability to perceive and comprehend human emotions holds significant importance across diverse realms of human interaction, ranging from enhancing human- computer interfaces to assisting in mental health diagnosis. This study presents an innovative Smart Emotion Detector, a resilient system engineered to precisely recognize and categorize facial human expression time. Face Detection entails the system's ability to identify human faces captured by the camera. In this context, we implement a digital attendance management system for classroom students utilizing facial recognition techniques.
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