📞 +91-7667918914 | ✉️ ijarcce@gmail.com
International Journal of Advanced Research in Computer and Communication Engineering
International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 15, ISSUE 4, APRIL 2026

AI - POWERED HUMAN RESOURCE MANAGEMENT SYSTEM (HRMS)

Bina Rewatka, Rohit Umredkar, Vaishnavi Tandekar, Priyanka Choudhari, Shrishakti Sharma

👁 12 views📥 2 downloads
Share: 𝕏 f in
Abstract: The Human Resource Management System (HRMS) is a full-stack web-based application designed to automate and streamline core HR operations such as employee management, attendance tracking, payroll processing, recruitment, and performance evaluation. Traditional HR systems often rely on manual processes, which are time- consuming, error-prone, and lack real-time decision-making capabilities.
This project introduces an AI-powered HRMS integrated with real-time analytics to enhance efficiency and decision- making in human resource operations. The system provides a centralized platform where HR administrators can manage employee records, track attendance, process payroll, and monitor performance metrics seamlessly.
An intelligent chatbot is integrated to assist users with HR-related queries such as leave balance, company policies, and employee information, improving accessibility and user experience. Real-time updates are enabled using modern web technologies, ensuring instant synchronization of data across the system.
The application is built using a modern full-stack architecture, with React.js for the frontend, Node.js and Express.js for backend services, and MongoDB/PostgreSQL for database management. The system is deployed on cloud infrastructure using Docker and CI/CD pipelines for scalability and reliability.

Keywords: AI-powered HRMS, Human Resource Management System, Real-time analytics, Employee management, Payroll system, Attendance tracking, Recruitment system, Chatbot, Web application.

How to Cite:

[1] Bina Rewatka, Rohit Umredkar, Vaishnavi Tandekar, Priyanka Choudhari, Shrishakti Sharma, “AI - POWERED HUMAN RESOURCE MANAGEMENT SYSTEM (HRMS),” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2026.154144

Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License.