Exploring the Role of Digital Financial Tools in Personal Finance: Enhancing Financial Planning and Decision-Making

In this research, we propose an advanced monthly budget planner that leverages historical financial data to predict future budgeting needs across four main components: income, investments, expenditure, and tax management. The features of our system imply that machine learning is used to find patterns and trends from previous data and give the users proper financial advice. The planner takes information from income variability, investment earnings, fixed and variable expenses, and tax liability, and provides in return a budget plan and possible strategies for saving and spending for the subsequent thirty days. Furthermore, the system includes promotional analysis for basket analysis so that the users can get shopping suggestions and the most amount of money can be saved. Its integrated approach helps people to develop sound financial plans, manage their budgets effectively, and financially prosper.