Biometric attendance mobile application for workforce management

This master thesis deals with the design and implementation of a secure and accurate attendance system. The proposed system consists of several core applications: a web-based administration interface for employers to manage and track attendance, a main server for centralized operations, a mobile application with biometric security for employees to take attendance, and a local server that can be deployed on a desktop computer using a Bluetooth adapter to increase the accuracy of location tracking. The work shows that attendance systems using technological advances effectively address the limitations of traditional methods. Despite differences in hardware adapted to different workplaces, it highlights that all attendance systems share the same basic criteria: accurately track arrivals and departures, prevent unauthorized attendance, and ensure reliability and consistency across different environments. The research also highlights the potential of mobile phones equipped with embedded biometric hardware to serve as secure personal identifiers. The system is developed using JavaScript technologies: React for the administration interface, React Native for the mobile application, Node.js for the main and local server, and MongoDB for database management. The mobile application is deployed in the Apple App Store and Google Play.