An Intelligent AI-Based Framework for Automated Personal Financial Management

Abstract

The emergence of digital financial services such as UPI, online banking, subscriptions, and digital wallets has led to an enormous amount of scattered financial data for an individual. Handling such scattered data manually is inefficient and hinders good financial awareness and decisions. It will serve as an intelligent financial management system that automatically manages expenses, budgets, and provides financial insights, leveraging advanced full-stack technology and artificial intelligence. The system aggregates financial information from multiple sources and automatically classifies transactions into categories. It utilises rule-based reasoning and machine learning algorithms to identify spending habits, forecast future expenditures, and provide financial recommendations to users. The system is also used in budgeting, notifications, and financial information management to improve user interaction and financial discipline. With less human effort and enhanced financial transparency, it is expected to empower financial enthusiasts with informative inputs for sound financial management. With this proposed system, smart automation will address the existing gap in financial information caused by financial ignorance. The study focuses on outlining the system architecture, functional components, and the impact of this project in addressing current financial realities.