Financial Management Tool Using Machine Learning

Abstract: Predicting future spending is an essential part of successful financial planning, which is a critical function of financial management in any organization's performance. Through the use of algorithms such as Decision Tree Regressor, Prophet, Support Vector Regression, Linear Regressions, and Support Vector Regressions. In order to help with financial obligation forecasting, this research investigates the use of historical spending data to build predictive models.Organizations may evaluate patterns and trends in past spending data to create educated forecasts about future expenditure by employing modern statistical and machine learning approaches. Economic circumstances, industry trends, and internal organizational dynamics are just a few of the many elements that impact spending. This study aims to create and evaluate prediction models that account for these aspects.In an effort to improve the precision and consistency of expenditure forecasts, the research applies data-driven methodologies to glean useful insights from previous financial data