AI-Based Smart Attendance System Using ESP32 and Facial Recognition

This paper presents the development of an AI-Based Smart Attendance System that integrates Facial Recognition with the ESP32 microcontroller for automated, secure, and accurate attendance management. Traditional attendance processes are slow and prone to proxy issues, whereas this system ensures real-time verification using face recognition and Bluetooth proximity validation. When a student enters the classroom, the ESP32 communicates with the student’s mobile app via Bluetooth to confirm physical presence, while a webcam captures the facial image for identity matching using an AI model. Attendance data is automatically stored and synchronized in Firebase, enabling teachers to view, update, and export reports. The proposed system enhances transparency, reduces human error, and provides a scalable solution for educational institutions.