Analysis of Financial Budgeting Using Computational Intelligence Approaches: its need and importance in reference to the state of Uttarakhand

Financial budgeting plays a crucial role in effective resource allocation and economic stability, particularly in regions with unique geographical and economic constraints, such as Uttarakhand. Traditional budgeting methodologies often fall short in handling the complexities of modern financial ecosystems. This paper presents a comprehensive overview on the application of computational intelligence techniques, including artificial intelligence (AI), machine learning (ML), and big data analytics, in financial budgeting and resource optimization. The review systematically categorizes existing studies, identifies research gaps, and highlights the potential of AI-driven approaches in improving financial decision-making and policy formulation in Uttarakhand. Furthermore, it discusses challenges, ethical considerations, and real-world applications of these technologies in financial forecasting. The study underscores the necessity of integrating computational intelligence for dynamic and data-driven financial planning, aiming to enhance economic growth and resource efficiency in the region.