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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 10, ISSUE 11, NOVEMBER 2021

Mental Health Assistance

Dr.Simran Khaini, Kaushal Bhagvatprasad Chindak, Atharva Shivaji Jadhav, Sushrut Avinash Borle, Varad Shivaji Shenkude

DOI: 10.17148/IJARCCE.2021.101118

Abstract: We propose a system for a virtual mental health assistant Diagnose owing to time and space constraints and shortage of resources related to in-person therapy. Oftenly, disturb mental health is a snowball effect built up over time and requires continuous attention and conscious efforts to improve. This is possible with the help of a virtual mental health Diagnosis. For detection and classification of various mental health problems, machine learning algorithms are utilized via training of various models which work in question-answer manner. The purpose of Diagnostic will have a Test regarding your problems which can determine the level of problems and accordingly provide solutions, psychological assessment, an emotion detection module and a recommendation system for improving the mood of the user. User will have to answer some particular questions related to mental health.

Keywords: Mental health , Virtual mental health assistant, Virtual Diagnosis, Classification, Machine Learning

How to Cite:

[1] Dr.Simran Khaini, Kaushal Bhagvatprasad Chindak, Atharva Shivaji Jadhav, Sushrut Avinash Borle, Varad Shivaji Shenkude, “Mental Health Assistance,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2021.101118