Authors: Dr. Jermiah Anand Jupalli, Dr. Kiran Koduru
Abstract: The rapid evolution of artificial intelligence (AI) and digital transformation has significantly influenced the domain of human resource management (HRM), enabling the development of intelligent and data-driven systems. This paper proposes an Intelligent Human Resource Management System (IHRMS) framework designed to enhance organizational efficiency and decision-making through AI-driven analytics, automation, and predictive modeling. The study integrates multiple HR functions, including recruitment, performance evaluation, employee engagement, and attrition prediction, into a unified intelligent system. A synthetic dataset is utilized to evaluate the performance of the proposed model, and comparative analysis is conducted with traditional machine learning approaches such as Support Vector Machine and Decision Tree. The results demonstrate that the proposed IHRMS model achieves higher accuracy, improved prediction consistency, and better decision support capabilities. Furthermore, the study addresses ethical considerations such as fairness, transparency, and data privacy in AI-based HR systems. The findings indicate that intelligent HR systems can significantly contribute to organizational excellence by improving workforce management, enhancing employee experience, and enabling strategic decision-making.
DOI: http://doi.org/10.5281/zenodo.20179023
