Aprendizado interativo de inglês baseado em visão computacional

Abstract

In view of the current context that experiences the implications of globalization, the importance of knowing at least one foreign language as a tool for insertion and social opportunities is visible, in this case English. In Brazil, the teaching of the English language is consolidated in language institutes and in private elementary education, because in the public sector, teaching in the initial grades is still deficient. For this reason, it is necessary an accessible way to help the learning of English in this age group, in this way, in order to solve the above issue, this work proposes to use image classification methods to make learning fun and interactive. In this sense, with the use of computer vision, a convolutional neural network model will be used to translate the images into words in English, thus promoting a playful and accessible teaching.