Bridging AI and Emotion: Enhanced Models for Personal Finance Manager Applications

Abstract

This paper focuses on creating and deploying an innovative Financial Advisor Application that would revolutionize conventional financial planning methods with the help of state-of-the-art artificial intelligence tools and effective financial services. Indeed, the essence of this application is user-oriented and focuses on creating more ways to engage the user and help them make the right decisions by redesigning the interface and providing individualized financial guidance. The application combines different aspects of financial management, including budgeting, transaction tracking, and goal setting, but also sees novelties as an artificial intelligence function that detects anomalies in transactions and the merchant offers explicitly created for clients. The technical structure involves access to data, the description of each module, and the use of AI that provides anticipatory analysis and tools for advanced financial planning. Business testing and vulnerability assessments were performed several times, proving the business value and reliability of the application, thus avoiding data leakage and modularity viruses. The paper assesses the effects on the users' satisfaction when provided with such technologies and their ability to change their financial management behavior, therefore providing an exhaustive scenario of the credentials of AI for improving the efficacy of financial advisory. The conclusions released in the paper should advance knowledge of financial technology as it demonstrates how the intelligent systems used in a presented application can lead to noteworthy improvements for both users and financial companies by offering advanced financial recommendations automatically and presciently.