I. Introduction
In the aftermath of the COVID-19 pandemic, the globe has borne witness to an extraordinary upheaval, encompassing realms far beyond the domain of public health [1]. The socioeconomic repercussions of the virus have sent shockwaves through global economies, triggering a severe recession that has affected nations across the globe. As nations grapple with the aftermath of this crisis, understanding the intricate dynamics of the world recession and its correlation with the COVID-19 pandemic has become crucial for policymakers, economists, and researchers alike [2]. A recession is characterized by a sharp fall in economic activity within one country or among several. It is characterized by a decline in gross domestic product (GDP), a rise in unemployment rates, and a decline in overall business activity. Recessions are part of the natural economic cycle and can have wide-ranging effects on individuals, businesses, and governments [3]. The global recession induced by the pandemic has unfolded in a manner distinct from previous economic downturns [4]. Traditional triggers for recessions, such as financial crises or structural imbalances, have taken a backseat as the world navigates an unparalleled health crisis. The COVID-19's have had a quick and noticeable effect on the world economy, multifaceted, and highly interconnected, transcending national boundaries and affecting diverse sectors, including healthcare, travel, hospitality, manufacturing, and finance [5]. Recessions can be caused by various factors such as stock market crashes, economic shocks, monetary and fiscal policies, bursting of asset bubbles, and psychological factors [6]. These factors, including financial market downturns, unexpected events, government policies, and shifts in investor sentiment, can contribute to economic downturns. By analyzing the socioeconomic disparities brought to the forefront by the crisis, it can identify strategies for fostering more inclusive and resilient economic systems. This research article aims to explore and evaluate the efficacy of various prediction algorithms in forecasting the future of the global recession. By analyzing historical data, incorporating relevant economic indicators, and employing advanced computational techniques, the article seeks to provide insights into the potential duration, severity, and recovery patterns of the recession. Furthermore, the paper will discuss the limitations, challenges, and ethical considerations associated with prediction algorithms, emphasizing the importance of interpreting predictions within their context and considering uncertainties inherent in economic forecasting.