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.
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