Design and Implementation of an Efficient Human Resource Management System (HRMS)

In the era of digital transformation, Human Resource Management Systems (HRMS) have evolved beyond administrative automation to become intelligent decision-support platforms. By integrating Artificial Intelligence (AI), Machine Learning (ML), and advanced analytics, HRMS now empower organizations to optimize talent acquisition, employee engagement, and workforce productivity. This research presents the design and implementation of an AI-driven HRMS that combines traditional HR functionalities with intelligent automation and predictive insights. The system leverages microservices architecture, natural language processing (NLP)-based chatbots, AI- powered resume screening, sentiment analysis for employee feedback, and predictive modeling for attrition forecasting. The study demonstrates how AI-enhanced HRMS transforms conventional HR operations into strategic, data-driven ecosystems that support organizational growth, employee satisfaction, and business agility.