Artificial Intelligence of Leadership Resource Management and Talent System

N. Vinodh, A. K. Subramani

2025

Abstract

The first thing the paper does is use the Java EE or Python programming language to develop and implement a human resources management system with a solid human-computer interface. The goal of human resource management is to remove obstacles that stand in the way of business expansion. By doing this, the company's human resource development may operate in an environment that is conducive to growth. The coupling issue between multiple levels can be effectively resolved by it. The system's benefits include an easy-to-use interface, secure functioning, and effective human-computer interaction. It fulfils numerous purposes. This paper then suggests a method for estimating the cost of human resources. The research employs the chaos principle to gather the enterprise's data for human resource cost estimation, restructure it, and bring back its evolving features. The "extreme learning machine" was employed to assess the performance of the organization and the expenses related to its human resources. The study's findings demonstrate that this approach can enhance the effectiveness of enterprise performance evaluation and more accurately reflect the cost-changing characteristics of enterprise personnel.

Paper Citation

in Harvard Style

Vinodh N. and Subramani A. (2025). Artificial Intelligence of Leadership Resource Management and Talent System. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 511-515. DOI: 10.5220/0013900800004919

in Bibtex Style

@conference{icrdicct`2525,
author={N. Vinodh and A. Subramani},
title={Artificial Intelligence of Leadership Resource Management and Talent System},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={511-515},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013900800004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Artificial Intelligence of Leadership Resource Management and Talent System
SN - 978-989-758-777-1
AU - Vinodh N.
AU - Subramani A.
PY - 2025
SP - 511
EP - 515
DO - 10.5220/0013900800004919
PB - SciTePress