DEVELOPMENT RESOURCE UTILIZATION SOFTWARE WITH EDGE AI AND GUESSING ENTROPY

Abstract

The rapid advancement of technology has led to an increasing demand for efficient resource management in operating systems. This project introduces an innovative approach to enhance the effectiveness of Windows operating systems by synergistically utilizing edge AI prediction and guessing entropy techniques. An Edge AI model predicts user behavior based on real-time system metrics while Guessing Entropy further refines these predictions, resulting in optimized resource allocation. This paper outlines the problem statement, objectives, and methodology for the development of this resource management tool.