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  Authors

Mr. Md Saqib Md Afzal,Dr. V. S. Karwande

  Keywords

stress detection, emotion detection, python and windows application.

  Abstract


One way to explain stress is as the body's attempt to exert control over itself in reaction to changes in the surrounding environment. This is accomplished via the utilisation of mental, physical, and emotional responses to these shifting conditions. It is possible to characterise stress as the body's attempt to exert control over itself. When experiencing continuous periods of extreme stress, there is a potential that a person's physical and mental well-being may be placed in peril. This is because of the cumulative effect of the stress. This might, over the course of a longer period of time, raise the probability of developing physiological ailments such as hypertension, as well as psychological problems such as anxiety disorder inside the individual. In addition to this, it has the potential to have a detrimental impact on the individual's performance in their place of job. People of all ages are feeling the impacts of psychological stress at an increasing rate, which is becoming a rising source of worry for the community all over the world. It is feasible that a trustworthy and cost-effective acute stress detection system might give its users with the capacity to better monitor and manage their stress, hence reducing the detrimental impacts that stress has on their long-term health. This would be a significant benefit. Stress is becoming an increasingly major problem not just in the area of academics, but also in the realm of people's everyday interactions with one another. Additionally, stress is becoming a problem in the realm of academics. People are becoming more and more aware of this problem and the influence it has on a variety of elements of their lives, including their health, their social lives, their careers, and their overall quality of life experience. This awareness is growing at an alarming rate. Applications that enable real-time monitoring and management of stress have become increasingly popular as a direct result of this trend. These applications let stress measurement and management to be performed in real time. The present technical and scientific advancements have been the driving force behind this heightened interest, which has resulted in the introduction of new ways of thinking and methods. In order to develop a Windows application that makes use of the Python programming language for the purpose of stress detection, this project will include posing questions to users and taking pictures of their faces. A component of this project will be the development of the application.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2505713

  Paper ID - 286188

  Author type - Indian Author

  Page Number(s) - g222-g227

  Pubished in - Volume 13 | Issue 5 | May 2025

  DOI (Digital Object Identifier) -   

  No Of Downloads - 73

  Author Country - India, -, -, -, -, Science and Technology

  Publisher Name - IJPUBLICATION | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Published Paper PDF : - http://www.ijcrt.org/papers/IJCRT2505713

  Published Paper URL: : - http://ijcrt.org/viewfull.php?&p_id=IJCRT2505713

  Published Paper PDF Downlaod: - download.php?file=IJCRT2505713

  Cite this article

Mr. Md Saqib Md Afzal,Dr. V. S. Karwande,   "DETERMINING STRESS RISK FROM SHORT-TERM TWEETS USING MULTIPLE APPROACHES", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 5, pp.g222-g227, May 2025, Available at :http://www.ijcrt.org/papers/IJCRT2505713.pdf

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