International Journal of Scientific Research and Engineering Development

Modern organizations require intelligent systems for managing employee attendance and monitoring workplace productivity efficiently. Traditional attendance systems such as manual registers, ID cards, and biometric fingerprint scanners often face issues including proxy attendance, inaccurate record maintenance, and lack of analytical insights. To overcome these limitations, the proposed Smart Attendance and Employee Analytics System integrates Artificial Intelligence, Face Recognition, Emotion Detection, Predictive Analytics, and Dashboard Reporting into a unified platform. To address these challenges, this paper proposes a Smart Attendance and Employee Analytics System using Face Recognition and Artificial Intelligence. The proposed system integrates multiple intelligent technologies including real-time face recognition, emotion detection, predictive analytics, dashboard reporting, automated email notification, voice confirmation, and intelligent query assistance into a unified platform. The system automates attendance activities such as Mark In, Mark Out, Break In, and Break Out using webcam-based facial recognition techniques, thereby reducing manual intervention and improving attendance accuracy.

Chaudhari Hetal Tukaram, Mali Unnati Kiran, Nagpure Akshata Ganesh, Warul Priyanka Sunil, Dr.Archana S Vaidya,"Smart Attendance and Employee Analytics System Using Face Recognition and Artificial Intelligence" International Journal of Scientific Research and Engineering Development, V9(3): Page(2429-2438) May-June 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.