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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM22081

CalmQuest Using Machine Learning

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM22081

Volume:

7 |

5 |

May 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

HS

Himanshu Sorthe

J

Jyoti

NS

Neela Sidar

RB

Ramesh Bhagat

AT

Aastha Tiwari

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Abstract

Mental health is a vital aspect of overall well-being, and there are various ways to improve it. A multifaceted approach that involves psychotherapy, mindfulness-based interventions, physical exercise, medication, self-care practices, social support, education, and workplace support can be effective in promoting mental health and well-being. By prioritizing mental health and seeking appropriate support, individuals can lead fulfilling lives and reach their full potential. Prevention and early intervention are crucial to promoting mental health and reducing the negative impact of mental health disorders on individuals, families, and society as a whole. This project revolves around a dynamic website equipped with a Chabot and a range of multimedia resources to provide accessible and personalized assistance to individuals navigating their mental health journeys. The website serves as a virtual haven, offering a user-friendly interface and intuitive navigation. Upon arrival, visitors are greeted with a warm welcome and guided towards the Survey. The Chabot – an empathetic and knowledgeable companion available 24/7 engages users in meaningful conversations, understanding their concerns, and offering tailored guidance along with valuable mental health resources.

KEYWORDS

Anxiety Depression Web Application Prediction Sentiment Analysis Machine Learning Classification Random Forest Classifier Mental Health.

Cite This Article

Himanshu Sorthe, Jyoti, Neela Sidar, Ramesh Bhagat, Aastha Tiwari, "CalmQuest Using Machine Learning," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 5, May 2023. https://doi.org/10.55041/IJSREM22081

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Publication Date

5/30/2023

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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Copyright Form (Office)

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0

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1

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5

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This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.

Conflict of Interest

The authors declare no conflict of interest related to this research work.

Funding Information

No funding information available for this research.

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