CONFERENCE / ICICMCT'23

Research Article

Stress Detection in it Professional by Image Processing and Machine Learning

Remya K P1 Hrudya K P2
12Department of Computer Science and Engineering, IES College of Engineering, Chittilappilly, Kerala, India.

Published Online: 2023

Pages: 57-60

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Abstract

The design aims to observe the emotion of the IT professionals and assess their stress position using Machine learning and Image processing ways. Stress affects the professionals and their socio- profitable mode and the stress detection systems helps to notice the stress situations and play a major part to reduce it. Automatic discovery of stress minimizes the chance of health problems and enhance the weal of the society. This design is an upgraded interpretation of the old stress detection systems and comprises of live discovery of physical as well as internal stress situations of workers periodically. Stress detection tool is a vital social donation that enhances the approach to life of people. The tools or software that helps in achieving the results always mark significance in the life of professionals. Currently because IT diligence square measure setting a relief peep within the request by transferal new technologies and wares within the request. During this study, the stress situations in staff also are noticed to lift the bar high. Although their square measure several associations United Nations agency give cerebral state connected schemes for his or her staff still the problem is much from operation. This project substantially focuses on managing stress and making the working terrain healthy and robotic for the workers and to get the stylish out of them during working hours

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