Real-Time Personalized Physiologically Based Stress Detection for Hazardous Operations

Abstract

The main motive of our project is to detect stress in the IT professionals using vivid Machine
learning and Image processing techniques. Our system is an upgraded version of the old stress
detection systems which excluded the live detection and the personal counseling but this system
comprises of live detection and periodic analysis of employees and detecting physical as well
as mental stress levels in his/her by providing them with proper remedies for managing stress
by providing survey form periodically. Our system mainly focuses on managing stress and
making the working environment healthy and spontaneous for the employees and to get the
best out of them during working hours.