| dc.contributor.advisor | Navarro Chinchilla, Henry Eliseo | en_US |
| dc.contributor.author | Suescun Batista, Jesús Joseph | |
| dc.date.accessioned | 2025-11-07T12:50:26Z | |
| dc.date.available | 2025-11-07T12:50:26Z | |
| dc.date.issued | 2025-02-12 | |
| dc.identifier.uri | https://repositorioinstitucional.ufpso.edu.co/xmlui/handle/20.500.14167/6046 | |
| dc.description.abstract | El proyecto implementó una API basada en inteligencia artificial para optimizar las operaciones de
Bodytech. Se analizaron procesos, definieron requerimientos y diseñaron diagramas de flujo. Con
Phalcon, React, Jenkins, Redis y MySQL, se automatizaron tareas, mejorando tiempos de respuesta y
seguridad. Se ejecutaron pruebas de carga y se capacitó al equipo, fortaleciendo la infraestructura
tecnológica. La iniciativa preparó a la empresa para enfrentar desafíos operativos y tecnológicos,
consolidando su competitividad. | en_US |
| dc.language.iso | spa | en_US |
| dc.subject | Inteligencia; Artificial; operativa | en_US |
| dc.title | Desarrollo de una API utilizando la inteligencia artificial Dapta que proporcione información en tiempo real sobre las operaciones de Bodytech, para optimizar la eficiencia operativa de la empresa. | en_US |
| dc.title.translated | Development of an API using Dapta artificial intelligence that provides real- time information on Bodytech operations, to optimize the company's operational efficiency. | en_US |
| dc.contributor.cvlac | https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000818976 | en_US |
| dc.contributor.googlescholar | https://scholar.google.es/citations?hl=es&user=z3jdm9QAAAAJ | en_US |
| dc.contributor.orcid | https://orcid.org/0000-0002-0522-9248 | en_US |
| dc.description.abstractenglish | The project implemented an API based on artificial intelligence to optimize Bodytech operations.
Processes were analyzed, defined requirements and designed flow diagrams. With Phalcon, React,
Jenkins, Redis and MySQL, tasks were automated, improving response and security times. Load tests
were executed and the team was trained, strengthening the technological infrastructure. The initiative
prepared the company to face operational and technological challenges, consolidating its
competitiveness. | en_US |
| dc.subject.keywords | Intelligence; Artificial; Operational | en_US |
| dc.identifier.instname | Universidad Francisco de Paula Santander Ocaña | en_US |
| dc.publisher.faculty | Facultad ingenierías | en_US |
| dc.publisher.program | Pregrado ingeniería de sistemas | en_US |
| dc.type.local | Pasantía | en_US |
| dc.description.degreelevel | Pregrado | en_US |
| dc.degree.name | Ingeniero de sistemas | en_US |
| dc.contributor.jury | Márquez Pinzón, Duván Andrey | |
| dc.contributor.jury | Camargo Trigos, Maria Fernanda | |
