Sistema mobile para gestão da fatura de crédito do Sicoob

Abstract

The use of credit cards has grown significantly in Brazil, resulting in challenges for personal financial control, since purchases are made in one month while payment occurs only in the following month. This work presents the development of a mobile system aimed at the management and control of Sicoob credit card statements, using Portable Document Format (PDF) files as the data source. The solution was developed in Kotlin for the Android platform, using Firebase as the backend platform and the iText7 library for data extraction. PDF processing was implemented through text parsing techniques combined with regular expressions, enabling the automated extraction of header information and individual expense records. The system provides functionalities such as manual and automatic expense categorization, generation of monthly and annual reports, monitoring of spending goals by category, and personalized financial insights based on consumption patterns. The auto-categorization mechanism learns from the user’s historical data, automatically assigning categories to known merchants in future statements. The tests performed validated the correct functioning of the system using real credit card statements, demonstrating effectiveness in data extraction and in the generation of relevant information. The system aims to facilitate financial organization and promote financial education, contributing to consumers’ financial well-being by making credit card management more efficient and accessible.