Affiliation:
1. Mohan Babu University, India
2. Sree Vidyanikethan Engineering College, India
Abstract
In today's fast-paced IT landscape, stress among professionals is a growing concern. This research employs machine learning to predict stress levels in IT professionals for proactive stress management. Utilizing features like heart rate, skin conductivity, hours worked, emails sent, and meetings attended, the authors capture both physiological and work-related stress indicators. This innovative approach aims to offer actionable insights for individuals and organizations. Individuals can monitor and intervene early, while organizations can identify high-stress environments, optimizing resource allocation. Preliminary results show a strong correlation between chosen features and stress levels, highlighting the potential of machine learning in predicting stress in IT professionals. This study represents a pivotal step towards a data-driven approach to mental health in the workplace.
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