Published Paper Details:

This paper describes about an App that is an Intelligent Attendance Management System that uses the most efficient Geo-fencing concept and Face recognition application of Machine Learning. The idea of geofencing is a location-based service where a mobile application or other software programs uses radio frequency identification (RFID), GPS, cellular data or Wi-Fi to generate a targeted action, such as sending a text, email, ads of social media or network or app notifications, when a targeted mobile phone or any other device enters or exits the virtual - geographic boundary region we build around (perimeter) called geofence. Considering Facial recognition systems as the most practical solution available for enterprises to make workforce attendance contactless, they continue to get becoming more and more popular. Face recognition is a touchless method of relating to, identifying, and validating employees and drop-ins in contrast to other forms of current attendance management systems like biometric fingerprint identification systems, which records an individual's identity by touch. As they help facilitate and process people's entrance and leave motions in a safe and efficient manner, touchless systems are one of the essential preventative measures in today's scripts. A facial recognition-based attendance system leverages face recognition to record attendance and attempt automatic verification of the person's identity. While this application is being built on these two concepts, not only the companies can use it but also it mainly focuses on school and colleges attendance management with efficient features to reduce the workload for faculty by using face recognition, it is also reducing the probability of proxy's to avoid the duplicates in attendance which makes it different from any other existing applications.