Artificial Intelligence Driven Financial Planning and Decision Support Framework

Abstract

Financial planning plays a crucial role in managing personal expenses and ensuring long-term financial stability. Traditional systems used for budgeting mainly depend on basic tools that record past transactions and categorize expenses. However, these methods often lack the ability to provide meaningful insights into future spending patterns or assist users in making informed financial decisions. As a result, users are required to rely on manual calculations and static budgeting approaches, which may not effectively adapt to changing financial behaviours. The proposed system introduces a more advanced approach to financial planning by utilizing modern computational techniques to analyse historical expense data and identify patterns. By applying multiple analytical models, the system improves the accuracy of expense estimation and provides users with helpful suggestions for better budget management. It also evaluates model performance using standard metrics to ensure reliability and consistency in results. Unlike traditional methods, this system adapts to individual user behaviour, offering a more personalized experience. Overall, the system aims to enhance financial awareness, support smarter decision-making, and provide a flexible and efficient solution for managing personal finances.