Development of a mobile application for the registration and attendance control of university students based on Machine Learning

Authors

Caytuiro Silva, Nicolás

Ala Samayani, Denilson

Peña Alejandro, Jackeline

Zuñiga Carnero, Manuel

Sulla-Torres, José Alfredo

Abstract

The objective of this research is the development of an Android mobile application that allows the registration and control of attendance in educational institutions based on Machine Learning and Cloud Computing technology. For this, the project management methodology XP (EXtreme Programming) is used, in whose phases the entire implementation process of the application and the launch are detailed; likewise, Firebase is used as a service for database management. The tests of the application were carried out in the students of the seventh semester of the Professional School of Systems Engineering of a University of Peru. The attendance control system was connected to a database that stores the information of the students and their attendance records and to implement the attendance record functionality by QR code, the Firebase Machine Learning kit was used, to Validate student attendance record. In addition, the user interface displays attendance records in an attractive, intuitive and easy to manage approach for teachers and students. The results of the research show that the use of the application by teachers and students reduces and optimizes the time invested in the attendance registration process compared to traditional methods, according to the criteria of satisfaction and acceptance of the mobile application called “ASYS”.