This article proposes the creation of a chatbot application for Android devices and the construction of an administrative web system. It was created to assist in monitoring and clarifying doubts about COVID-19 in the city of Corrente-PI in partnership with the Municipal Health Department, in its development the DiagloFlow platform was used for training Artificial Intelligence, which will respond to the user and the Flutter programming language. The results obtained through the tests carried out via chat conversation and their efficiency in combating COVID-19 will be presented, which will be presented in the form of graphs and metrics.
Serpentes estão no topo da lista de acidentes com animais peçonhentos no Brasil. O pouco conhecimento da população a respeito desses animais, torna sua identificação dificultada em casos de acidentes, quando se faz necessário a classificação para a aplicação do soro antiofídico correto. Foi proposto neste trabalho, com o uso de Inteligência Artificial com aplicação das técnicas de Transfer Learning, a criação de um modelo de rede neural, implementado a um aplicativo de celular onde, a classificação da espécie é feita de forma instantânea. O modelo treinado com um banco de 3401 imagens obteve um nível acurácia de 90.22%. Já os testes realizados com o aplicativo em funcionamento, levou a uma taxa de acerto de 88.41% após testá-lo com 164 imagens.
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