Analysis of Artificial Intelligence based Credit and Savings Associations for Investment decisions financial System

This research study analyzes the effectiveness of two ROSCA modifications that have the potential to improve community resilience using computational tools and dynamical systems modeling. In order to lessen the impact of people quitting the association, first suggest an approach that sets aside a portion of each member’s contributions to the ROSCA. Then investigate the effects of this strategy on people’s financial well-being and interpersonal trust in the community. This research offers a fresh perspective on how to comprehend the risk-taking behavior of bankers. Expand on earlier research that indicates using artificial intelligence algorithms is a useful way to get this knowledge. The strategy makes use of a special decision-making model and behavioral finance.