Paper Details

Name: Shikha Verma, Inderpreet Kaur
Country: India

Year: 2024
Volume: Volume-11, Issue-1 (January-June)
Page Number: 27-33

Stress has become a significant aspect of everyone's life in today's competitive world. It has a wide range of direct and indirect effects and has become a major issue for a lot of individuals these days. The purpose of this research is to determine the causes of stress, anxiety, and depression that impact individuals from professional backgrounds. Our study seeks to characterize and identify how the development of technology has affected people's lives and stress levels. Modern ailments that impact a person physically, emotionally, cognitively, and socially may now be attributed mostly to stress. This article aims to educate people about early stress identification and treatment to prevent life-threatening situations using machine learning techniques. This paper suggests various supervised machine learning algorithms in detecting stress efficiently and effectively among a large number of people .Thus this paper will be useful in providing information about the use of machine learning techniques in the analysis of stress detection. KEYWORDS: Artificial Intelligence, Machine Learning, Stress Detection