Voice analysis with Python and React Native

Abstract

Machine Learning and Mobile Development have recently drawn great attention amongst scientists and developers. In 2018, Finland alone had 81% of men and 79% of women over the population owning a smartphone for own use. The two areas from Artificial Intelligence – Natural Language Processing and Computer Vision, where a machine can understand human language and see images respectively, were considered. Hence, the objectives of the thesis were to let the machine predict the personal preference of user depending on the provided input. On top of that, developing a good model, which means the accuracy of machine prediction must be relatively above the average for classification, and deciding on which smartphone operating system was discussed based on personal skills and interests. Different methods such as conducting a survey, performing an interview, programming in React Native – an iOS-friendly developing system for Apple’s product were carried out. As a result, the application – Funny Dino – can predict the characteristics given the prompted input from users. Furthermore, the authors held responsibilities for each side of the development – Thao Ho for the front-end, where the user and machine will communicate, and Nam Pham for the back-end, where all data were processed.