A GPS-based Face Attendance Register System using Android Applications stored in the Cloud

The system is a face-based attendance system for students that make use of multi-CNN (Convolutional Neural Network) technology with GPS tracking. The device simplifies the process of taking attendance for both teachers and students while offering precise and effective attendance monitoring. The method makes use of GPS tracking to pinpoint the location of student and get confirmation of their attendance. The multi CNN technology is utilized to improve the attendance’s accuracy. Tracking multiple CNN models are combined in the multi-CNN system to increase the process’s accuracy for tracking attendance. Additionally, the system makes use of facial recognition technologies to make sure. The appropriate pupil is noted as present. When a student leaves a class, the department head and parents are both notified at the same time. A web-based dashboard and a mobile app for students and teachers make up the system. Every database is kept in cloud storage.