UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 10 Issue 2
February-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2302422


Registration ID:
509023

Page Number

e195-e200

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Title

Stress detection using machine learning technique

Abstract

Stress is a most common source of physical and mental health issues that can affect our lives in various ways. Tenser Flow, Open CV and NumPy are powerful libraries that can be used to detect, analyze and manage stress. Tenser Flow can be used to create and stress detection models, while Open CV and NumPy can be used to extract and analyze the facial expressions and body language to identify the signs of stress. These libraries can also be used to create personalized stress management plans based on a person’s individual needsse3, as well as to identify stress and suggest ways reduce their impact. With these tools it is possible to detect and analyze, manage stress, providing people with the resources they need to improve their mental and physical health more accurately.

Key Words

NumPy, Tenser flow, Open CV

Cite This Article

"Stress detection using machine learning technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 2, page no.e195-e200, February-2023, Available :http://www.jetir.org/papers/JETIR2302422.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Stress detection using machine learning technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 2, page no. ppe195-e200, February-2023, Available at : http://www.jetir.org/papers/JETIR2302422.pdf

Publication Details

Published Paper ID: JETIR2302422
Registration ID: 509023
Published In: Volume 10 | Issue 2 | Year February-2023
DOI (Digital Object Identifier):
Page No: e195-e200
Country: East Godavari , Andhra Pradesh, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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