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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM28674
Volume:
8 |
2 |
Feb 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The field of machine learning (ML)-enhanced workforce management offers a transformative potential for organizations aiming to revolutionize their employee recruitment, retention, and management processes. ML algorithms provide automation, pattern recognition, and predictive capabilities, significantly enhancing various aspects of workforce management. This paper presents developing an intuitive website tailored for HR professionals, harnessing diverse ML models to optimize user experience and operational efficiency. These models offer valuable insights, such as predicting employee attrition, objectively evaluating performance, and ensuring fair appraisal distribution. By enabling HR professionals to effortlessly manipulate employee data and leverage ML-generated predictions, organizations can make informed, data-driven decisions seamlessly. This innovative approach equips HR teams to proactively tackle challenges, fostering a cohesive, motivated, and high-performing workforce. This paper serves as a guide, steering organizations towards the future where HR decisions are not only intuitive but also deeply enriched by the analytical prowess of ML technology.
KEYWORDS
Publication Date
12/31/45441
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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