Sistema web progresivo para la gestión de la ejecución y seguimiento de la formación del talento humano y generación de reportes mediante inteligencia artificial en la Empresa Eléctrica Ambato regional centro norte S.A

Abstract

This research examined how to optimize the management and monitoring of human talent training at Empresa Eléctrica Ambato Regional Centro Norte S.A. through a Progressive Web Application and an artificial intelligence module for report generation. The study followed an applied research modality and used a key-informant interview, a diagnostic survey of institutional staff, a TAM survey with 124 users, expert validation with 3 Human Talent users, and the Extreme Programming methodology to plan, design, code, and validate the solution. The research identified five critical institutional processes, defined functional, technological,and non-functional requirements, and implemented modules for events and training activities, attendance, materials, certificates, notifications, audit, and AI-based reporting. DeepSeek was incorporated into the analytical module because of its ability to interpret natural-language queries and transform them into useful administrative reports for decision-making. The results showed functional compliance in black-box tests, PWA technical validation, and, as a complementary measure, a final success rate of 86.7 percent in the analytical module evaluation. The TAM survey reported 91.5 percent perceived usefulness, 83.9 percent perceived ease of use, 92.5 percent confidence and security, and 90.8 percent attitude and intention to use. Expert validation showed favorable assessment of the administrative and analytical modules. The research concluded that the solution was functional, technically viable, and relevant for modernizing institutional training management.