• Yeshwanth.V
• Pallavi H.S

This study presents a novel approach to detect stress in IT professionals, leveraging wearable devices to monitor physiological indicators and analyzing user behavior through machine learning algorithms. The system offers real-time stress detection and personalized profiling, aiming to identify and address stressors specific to the dynamic IT industry. Ethical considerations and privacy are prioritized, ensuring responsible deployment. The model not only recognizes stress but also provides insights into underlying causes, enabling targeted interventions and preventive strategies. By fostering a proactive and supportive work environment, the proposed system contributes to the broader conversation on mental health in the modern workplace.

IT professionals, Wearable devices, Machine learning algorithms, Real-time monitoring, Facial expressions, Voice analysis, Pulse-rate monitoring, Cognitive stressor, Proactive stress management

"A Survey on Stress in IT Professionals", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 2, page no.d431-d436, February-2024, Available :http://www.jetir.org/papers/JETIR2402353.pdf

"A Survey on Stress in IT Professionals", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 2, page no. ppd431-d436, February-2024, Available at : http://www.jetir.org/papers/JETIR2402353.pdf