Carvalho, Zulmara Virgínia deAlves Neto, José Veraldo2022-12-302022-12-302022-12-20ALVES NETO, José Veraldo. Saúde e bem-estar: plataforma de soluções integradas de métricas preventivas - módulo atividade física. 2022. 32 f. Trabalho de Conclusão de Curso (Graduação em Ciências e Tecnologia) - Escola de Ciência e Tecnologia, Universidade Federal do Rio Grande do Norte, Natal, 2022.https://repositorio.ufrn.br/handle/123456789/50756The society of the 21st century is considered as a large technological community that makes constant use of means of communication and information sharing, using the internet as its main tool. With the advancement of technological resources, new behavioral patterns become visible and allow for new ways of experiencing the world. Within the new behavioral patterns, sedentary lifestyle has been growing in the world, reaching 70% of the global population, according to the World Health Organization. Data from the 2022 report, from the same institution, indicate that lack of physical activity is the fourth largest risk factor for deaths in the world, generating treatment costs of around US$ 27 billion per year. In this direction, a sedentary lifestyle could lead about 500 million people around the world to develop chronic diseases such as cancer, diabetes or hypertension, in addition to depression, by 2030. However, the same technological advance can offer tools to face a sedentary lifestyle. Thus, the present work aimed to develop the 'Physical Activity' module of the Platform of Integrated Solutions of Preventive Metrics of Health and Well-Being. The research effort, based on anthropometry studies, was centered on software development, with HTML5, CSS3, JAVASCRIPT, MYSQL, JQUERY, JSON, CHARTJS, PHP and BOOTSTRAP technologies. Progression visualization and training estimation modules were implemented. The information is arranged in graphs, data and/or tips that are easy to read and interpret. Among them, access to training trail suggestions, evolution graph, caloric loss estimate, kilometers run, with progression and estimates in weekly and monthly frequencies. From the database, the physical profile of users can be analyzed, applying Data Science technologies to suggest workouts and activities. The prototype of the 'Physical Activity' module of the Platform for Integrated Solutions for Preventive Metrics for Health and Well-Being, centered on monitoring metrics, based on user parameters, has been tested. The Minimum Viable Product is available for technological validation with physical educators. As a result, the research results indicate the viability of technological assets that help to combat sedentary lifestyles and promote preventive health actions.Cultura de InovaçãoDesenvolvimento de SoftwareNegócios TecnológicosEmpreendedorismo InovadorSaúde e Bem-EstarbachelorThesis