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. Key Words: 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
CITATION STYLE
Katam, B. R. (2024). Data + AI Driven Solutions for Enhancing Employee Wellbeing and Work-Life Balance. INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT, 08(08), 1–11. https://doi.org/10.55041/ijsrem36975
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