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
|
DOI:
10.17148/IJARCCE.2021.101118
