Zavedení modulu umělé inteligence do konkrétní fungující aplikace

The subject of this thesis is the implementation of artificial intelligence into a specific application. Specifically, it is usage of machine learning to provide personalized recommendations of American stocks based on user interactions. The final deployment is available in the iOS mobile application that was created for the purpose of this thesis. This work is structured into seven chapters, which gradually fulfill partial goals. The first chapter describes important concepts for the implementation of the artificial intelligence module. The second part describes the individual parts of the artificial intelligence module. In particular, Amazon Personalize, which provides user-specific recommendations based on a trained machine learning model. The third chapter describes the current state of the application before implementation of the module. Especially the individual components used by iOS mobile applications. The fourth chapter describes the individual steps of the implementation. The fifth chapter describes the state after the introduction of the module and the changes that had to be made in the individual components so that the users receive the final recommendations. The sixth chapter describes the changes related to the implementation. The last chapter describes the benefits of implemented module. The module implementation within this work is evaluated as successful.