Author:
Bhalerao Mrunal,Lewis Trisha,Salvi Raj,Kalantri Rakhi
Abstract
Mental health reflects a person's emotional, psychological, and social well-being. A report by World Health Organization suggests that India is the most depressed country in the world. Hence, the idea is to develop an end-to-end solution for identifying and treating mentalhealth issues. This paper aims to develop an application to keep track of user's behaviour, both online and offline, to understand and identify the possible mental health issues using various analytical and psychological methodologies. The target users of this application would be the individuals just above the age of 18 which fall under the category of working class. Postidentification, the user is recommended a suitable change in his routine and behavior which would lead to a better lifestyle.Mental illnesses detection is a challenging undertaking because a misdiagnosis can lead to catastrophic consequences.Hence, our android application will take the necessary steps to accurately identify and treat the mental health issue.
Cited by
1 articles.
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1. Mental Health Tracker Using Machine Learning Approaches;2023 4th IEEE Global Conference for Advancement in Technology (GCAT);2023-10-06