• Dr. ELAN GOVAN.K
• B.E.THANGICHALAM
• B.VAMSI KRISHNA
• V.S. VELU
• E.VINAY

Working from home (WFH) online during the covid-19 pandemic has caused increased stress level. Online workers/students have been affecting by the crisis according to new researches. Natural response of body, to external and internal stimuli is stress. Even though stress is a natural occurrence, prolonged exposure while working Online to stressors can lead to serious health problems if any action will not be applied to control it. Our research has been conducted deeply to identify the best parameters, which have connection with stress level of online workers. As a result of our research, a desktop application has been created to identify the users stress level in real time. Our main goal is to provide best solution for the online workers to have healthy lifestyles. Stress is commonly defined as a feeling of strain or pressure felt by a person which occurs from any event or thought that makes you feel frustrated, angry, or nervous. In the present situation many people have succumbed to stress especially the adolescent and the working people on various occasions. Stress is a part of our daily life, but having stress for a long time can leads to many problems like depression, suicidal thoughts, heart attack and stroke. We can use the current technology like machine learning and IOT devices to detect stress. In this project we use Galvanic skin response (GSR) sensor, Heart rate variability (HRV) Sensor, and Temperature Sensor which are connected to arduino board which process the data and help us to detect stress. Stress is related to life style; therefore, especially for mobile automated lifestyle counselling and analysis services, the need arises to identify stress automatically during daytime, using physiological data from various sensors which helps to know reduce stress.

Arduino, GSR Sensor, HRV, IoT , Stress, Temperature sensor etc.

"STRESS ANALYSIS AND CARE PREDICTION SYSTEM FOR ONLINE WORKERS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 3, page no.i182-i187, March-2023, Available :http://www.jetir.org/papers/JETIR2303829.pdf

"STRESS ANALYSIS AND CARE PREDICTION SYSTEM FOR ONLINE WORKERS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 3, page no. ppi182-i187, March-2023, Available at : http://www.jetir.org/papers/JETIR2303829.pdf