APPLICATION OF MACHINE LEARNING AND DATA ANALYSIS IN ENHANCING FINANCIAL LITERACY

Abstract

Financial literacy remains a significant challenge in Uzbekistan, affecting the economic stability and well-being of its population. Research indicates that a majority of citizens lack access to reliable financial education and tools, which are essential for effective personal finance management. This gap in financial literacy manifests in poor savings rates, inefficient budgeting, and a limited understanding of investment opportunities, leading to suboptimal financial decisions with long-term negative consequences. According to studies by the Asian Development Bank and World Bank, this issue is a significant barrier to economic development in Uzbekistan, where financial inclusion is also relatively low compared to global standards​.