Smart Attend Insights: A Review

Smart Attend Insights: A Review

Manoj M1, Rishna Ramesh², Sandhra Gopi³, Firoz P U⁴, Athira A S⁵
1,2,3,4Student, Department of computer science and engineering, Universal Engineering College, Kerala, India.

5Assistant Professor, Department of computer science and engineering, Universal Engineering College, Kerala, India.

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Abstract - The study examines developments in facial recognition technology in fields including online marketing, e- learning, e-therapy, security, and attendance tracking. It highlights the significance of emotional intelligence in human- computer interactions, emphasizing in particular the importance of facial emotions as non-verbal indications in digital settings. It tackles issues with implementing facial recognition in resource-constrained systems by creating a deep learning tool for evaluating patient's moods during e-therapy sessions. With its automated attendance management system, SmartAttend Insights guarantees accurate recording and encourages consistent attendance with its communication tools and notifications. In addition, deep learning algorithms support collaborative learning environments and analyse academic performance. Overall, the study demonstrates how deep learning may significantly improve student engagement, performance, and accountability in the classroom. SmartAttend Insights is a valuable tool for educators, parents, students, and educational institutions.

Key Words: Facial recognition technology, attendance tracking, deep learning, Automated attendance tracking, Student engagement