Oliveira, Luiz Affonso Henderson GuedesBorges, Allyson Franklin Marinheiro2023-07-122023-07-122023-06-29BORGES, Allyson Franklin Marinheiro. Infraestrutura computacional para desenvolvimento de protótipos de aplicações de internet das coisas (IoT). Orientador: Luiz Affonso Henderson Guedes de Oliveira. 2023. 43f. Trabalho de Conclusão de Curso (Graduação em Engenharia de Computação) - Departamento de Engenharia de Computação e Automação, Universidade Federal do Rio Grande do Norte, Natal, 2023https://repositorio.ufrn.br/handle/123456789/53271Currently, the areas of Internet of Things (IoT) and Data Science with the use of Artificial Intelligence (AI) are driving a digital revolution. In this context, there is a need for a support infrastructure to help the development of IoT-motivated solutions, especially during the prototype phase. The objective of this work is the elaboration of a computational infrastructure that allows the development of IoT prototypes, providing data processing, descriptive analysis and visualization. For this, we integrate Google tools with IoT hardware, using AppScript to automate tasks and publish the collected data in a spreadsheet, thus establishing a database in the cloud. In addition, we used the Collaboratory platform to perform an exploratory analysis of the data and build an interactive dashboard. During the development, communication tests were carried out between different devices in the same worksheet, analysis of the collected data, creation of an interactive dashboard with Streamlit and evaluation of the time of sending the data. The proposed system became an easy-to-use environment, accessible from anywhere and that enables the generation of important information from the constructed database.Attribution-NoDerivs 3.0 Brazilhttp://creativecommons.org/licenses/by-nd/3.0/br/Internet das coisasAnálise exploratória de dadosGoogle ScriptGoogle ColaboratoryBase de dadosInternet of thingsExploratory data analysisGoogle app scriptGoogle collaboratoryDatabasebachelorThesisCNPQ::ENGENHARIAS