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© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM36975

Data + AI Driven Solutions for Enhancing Employee Wellbeing and Work-Life Balance

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM36975

Volume:

8 |

8 |

Aug 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM36975

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.

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Authors

BRK

Brahma Reddy Katam

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Abstract

This paper investigates the potential of AI-driven solutions to monitor and enhance employee wellbeing and work-life balance by leveraging data such as login hours, number of team meetings, total working days in a year, and vacation days taken, companies can provide personalized wellness recommendations. This approach aims to improve employee health, reduce absenteeism, and boost productivity, ultimately enhancing organizational performance.

KEYWORDS

AI-driven solutions employee wellbeing work-life balance workplace activity data login hours team meetings vacation days productivity absenteeism HR management systems machine learning personalized recommendations.

Cite This Article

Brahma Reddy Katam, "Data + AI Driven Solutions for Enhancing Employee Wellbeing and Work-Life Balance," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 8, Aug 2024. https://doi.org/10.55041/IJSREM36975

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7/7/2024

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The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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