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National Repository of Grey Literature 1 records found  Search took 0.00 seconds. 
Application for Analysis of Data from Bank Transactions
 Hýbl, Petr ; Hynek, Jiří (referee) ; Bartík, Vladimír (advisor)
The goal of this thesis is to design and implement a web application for analyzing bank transactions. The application uses the Flask web framework on the server and the React framework on the client. The focus of the work was simplicity and user experience. The main function of this application is automatic categorization of transactions using artificial intelligence. The core of this feature is a two-layer architecture. In this architecture we were able to achieve a success rate of 85 %. This application allows the user to upload a monthly statement and view a summary graph with the category where they spend the most money. In addition, the user can compare each month and think about how to optimize their finances.
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