Desarrollo de una aplicación móvil para la registro y control de asistencia de la universidad estudiantes basados en Machine Learning

Nicolás Caytuiro Silva, Denilson Ala Samayani, Jackeline Peña Alejandro, Manuel Zúñiga Carnero, José Sulla-Torres

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

This research aims to develop an Android mobile application that allows 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 process of implementation of the application and the launch are detailed; likewise, Firebase is used as a service for database management. The application tests were carried out on the students of the seventh semester of the Professional School of Systems Engineering of the University of Peru. The attendance control system was connected to a database that stores student information and attendance records. To implement the QR code attendance record functionality, the Firebase Machine Learning kit was used to Validate the student attendance record. In addition, the user interface displays the attendance records from an attractive, intuitive approach that is easy for teachers and students to manage. The results of the research show that the use of the application by teachers and students reduces and optimize the time invested in the attendance registration process compared to traditional methods, according to the satisfaction and acceptance criteria of the mobile application called “ASYS.”

Título traducido de la contribuciónDevelopment of a mobile application for the registration and control of attendance of university students based on Machine Learning
Idioma originalEspañol
Título de la publicación alojadaProceedings of the 2nd LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development
Subtítulo de la publicación alojadaExponential Technologies and Global Challenges: Moving Toward a New Culture of Entrepreneurship and Innovation for Sustainable Development, LEIRD 2022
EditoresMaria M. Larrondo Petrie, Jose Texier, Rodolfo Andres Rivas Matta
EditorialLatin American and Caribbean Consortium of Engineering Institutions
ISBN (versión digital)9786289520736
DOI
EstadoPublicada - 2022
Evento2nd LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development, LEIRD 2022 - Virtual, Online, Colombia
Duración: 6 dic. 20227 dic. 2022

Serie de la publicación

NombreProceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
Volumen2022-December
ISSN (versión digital)2414-6390

Conferencia

Conferencia2nd LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development, LEIRD 2022
País/TerritorioColombia
CiudadVirtual, Online
Período6/12/227/12/22

Palabras clave

  • Android
  • Assistance system
  • Machine Learning
  • Mobile application
  • XP Methodology

Huella

Profundice en los temas de investigación de 'Desarrollo de una aplicación móvil para la registro y control de asistencia de la universidad estudiantes basados en Machine Learning'. En conjunto forman una huella única.

Citar esto