A Predictive Analysis of Union Budget of India 2024 -2025: To Match with The Reality After Budget Announcement

This paper analyzes the Union Budget of India for the financial year 2024-2025, presented by Finance Minister Nirmala Sitharaman on February 1, 2024. The budget aims to promote economic growth, reduce poverty, and enhance the quality of life for citizens. Our analysis focuses on the allocation of resources, tax reforms, and initiatives for various sectors. We have used data from the budget documents and economic indicators to examine the budget's impact on the economy. The objective of our study is to employ predictive analytics to examine the impact of Union Budget 2024-2025 on India's economic growth, fiscal deficit, and social sector outcomes. Using historical data and machine learning algorithms, our model forecasts a 7.5% GDP growth rate, a reduction in fiscal deficit to 3.5%, and significant improvements in healthcare and education outcomes. The study highlights the importance of fiscal discipline, infrastructure development, and social sector investments in achieving sustainable economic growth. The findings of this study can inform policymakers and stakeholders in their decision-making processes. Methodology involves collection of historical data on past Union Budgets and machine learning algorithms which has used regression analysis and decision trees. The expected contributions from this study are: 1. Improved understanding of the impact of Union Budget on economic growth 2. Enhanced fiscal discipline: 3. Data-driven policy decisions 4. Identification of key drivers of economic growth 5. Informing resource allocation 6. Contribution to the existing body of knowledge 7. Practical implications for policymakers and stakeholders.