Impacto del Uso de Inteligencia Artificial en la Eficiencia de la Personalización de Planes Alimenticios en una App Móvil para Niños Menores de 3 Años.
| dc.contributor.advisor | Saltos Viteri, Harry | |
| dc.contributor.author | Sarco Meléndez, Brayan Alexander | |
| dc.date.accessioned | 2025-04-18T04:10:29Z | |
| dc.date.available | 2025-04-18T04:10:29Z | |
| dc.date.issued | 2024 | |
| dc.identifier.uri | http://dspace.utb.edu.ec/handle/49000/17774 | |
| dc.description | This research project emerges from the challenge of child malnutrition, where 34% of children in the region show some degree of nutritional deficiency, combined with limited access to specialists - one nutritionist per 5,000 inhabitants. The study employs a mixed methodology, including surveys of 18 parents at the Child Development Center (CDI). Results reveal that 77.78% of parents already use mobile applications to monitor their children's nutrition, and 66.67% consider personalization of meal plans very important. Additionally, 61.11% expressed willingness to use an AI application daily for this purpose. The technical proposal includes an application architecture that integrates AI algorithms with APIs to generate personalized nutritional recommendations, considering factors such as age, weight, allergies, and cultural preferences. Implementation is planned in three phases: design, pilot testing, and evaluation/scaling. Expected results include a 20% reduction in malnutrition cases during the first year and a 35% increase in adherence to meal plans. The research stands out for its scalability potential and contribution to the Sustainable Development Goals, specifically in health and well-being (SDG 3) and innovation (SDG 9). Chapter 5 of this research project proposes the development of a mobile application with artificial intelligence to personalize meal plans for children under three years old in Babahoyo, Ecuador. The project is particularly relevant given that 85% of parents in Babahoyo have access to smartphones, but only 15% use specialized child nutrition applications, representing a significant opportunity to improve nutritional health through accessible technology. | es_ES |
| dc.description | This research project emerges from the challenge of child malnutrition, where 34% of children in the region show some degree of nutritional deficiency, combined with limited access to specialists - one nutritionist per 5,000 inhabitants. The study employs a mixed methodology, including surveys of 18 parents at the Child Development Center (CDI). Results reveal that 77.78% of parents already use mobile applications to monitor their children's nutrition, and 66.67% consider personalization of meal plans very important. Additionally, 61.11% expressed willingness to use an AI application daily for this purpose. The technical proposal includes an application architecture that integrates AI algorithms with APIs to generate personalized nutritional recommendations, considering factors such as age, weight, allergies, and cultural preferences. Implementation is planned in three phases: design, pilot testing, and evaluation/scaling. Expected results include a 20% reduction in malnutrition cases during the first year and a 35% increase in adherence to meal plans. The research stands out for its scalability potential and contribution to the Sustainable Development Goals, specifically in health and well-being (SDG 3) and innovation (SDG 9). Chapter 5 of this research project proposes the development of a mobile application with artificial intelligence to personalize meal plans for children under three years old in Babahoyo, Ecuador. The project is particularly relevant given that 85% of parents in Babahoyo have access to smartphones, but only 15% use specialized child nutrition applications, representing a significant opportunity to improve nutritional health through accessible technology. | es_ES |
| dc.description.abstract | Este proyecto de investigación surge ante la problemática de malnutrición infantil, donde el 34% de los niños en la región presenta algún grado de deficiencia nutricional, combinado con un acceso limitado a especialistas nutricionista por cada 5,000 habitantes. El estudio emplea una metodología mixta, incluyendo encuestas a 18 padres del Centro de Desarrollo Infantil CDI, sus resultados revelan que el 77.78% de los padres ya utiliza aplicaciones móviles para monitorear la alimentación de sus hijos, y el 66.67% considera muy importante la personalización de planes alimenticios. Además, el 61.11% expresó disposición a utilizar diariamente una aplicación con IA para este propósito. La propuesta técnica incluye una arquitectura de aplicación que integra algoritmos de IA con API´s para generar recomendaciones nutricionales personalizadas, considerando factores como edad, peso, alergias y preferencias culturales. La implementación se plantea en tres fases: diseño, pruebas piloto y evaluación/escalamiento. Los resultados esperados incluyen una reducción del 20% en casos de malnutrición durante el primer año y un aumento del 35% en la adherencia a planes alimenticios. La investigación destaca por su potencial de escalabilidad y su contribución a los Objetivos de Desarrollo Sostenible, específicamente en salud y bienestar (ODS 3) e innovación (ODS 9). En el Capítulo 5 de este proyecto de investigación se propone el desarrollo de una aplicación móvil con inteligencia artificial para personalizar planes alimenticios destinados a niños menores de tres años en Babahoyo, Ecuador. El proyecto es particularmente relevante dado que el 85% de los padres en Babahoyo tienen acceso a smartphones, pero solo el 15% utiliza aplicaciones especializadas en nutrición infantil, representando una oportunidad significativa para mejorar la salud nutricional mediante tecnología accesible. | es_ES |
| dc.format.extent | 112 p. | es_ES |
| dc.language.iso | es | es_ES |
| dc.publisher | Babahoyo: UTB-FAFI. 2025 | es_ES |
| dc.rights | Attribution-NonCommercial-NoDerivs 3.0 United States | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | * |
| dc.subject | Inteligencia Artificial | es_ES |
| dc.subject | Planes Alimenticios | es_ES |
| dc.subject | App Móvil | es_ES |
| dc.subject | Niños | es_ES |
| dc.subject.other | Ingeniería en Sistemas | es_ES |
| dc.title | Impacto del Uso de Inteligencia Artificial en la Eficiencia de la Personalización de Planes Alimenticios en una App Móvil para Niños Menores de 3 Años. | es_ES |
| dc.type | bachelorThesis | es_ES |
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