Abstract:

"FinBuilder" is an intelligent financial management application designed to address modern challenges in personal finance. It leverages real-time analysis of financial statements, employing machine learning techniques, particularly Support Vector Machine (SVM), to categorize transactions into distinct groups such as utilities, groceries, and entertainment. By organizing financial data effectively, FinBuilder enables users to monitor their spending habits and make informed financial decisions. Additionally, the application offers personalized recommendations for budgeting, savings, and investment planning. This integrated solution aims to empower users to achieve greater financial stability and foster long-term financial well-being.