AI Enabled Chatbot for regulating Mental Health

聊天机器人 心理健康 面子(社会学概念) 心理学 心理保健 2019年冠状病毒病(COVID-19) 医疗保健 精神科 医学 社会学 政治学 计算机科学 疾病 法学 传染病(医学专业) 人工智能 病理 社会科学
作者
Kirti Janghu Tomar,Anjali Khushwaha,A Giri,Sreenu Banoth
出处
期刊:International Journal for Research in Applied Science and Engineering Technology [International Journal for Research in Applied Science and Engineering Technology (IJRASET)]
卷期号:11 (5): 1725-1731 被引量:1
标识
DOI:10.22214/ijraset.2023.51855
摘要

Abstract: The most important healthcare questions affecting present-day human people are those related to mental health. Young adults and individuals of working age are more inclined to experience these troubles that have a detrimental effect on the person, his or her family, job, society, and economy. Conventional mental health care aids, while very successful, cannot be scaled until they meet the growing demand from affected individuals, as explained in the first two years of the COVID-19 epidemic. To begin with, it is supposed that there are 792 million families globally that have mental health issues and ailments. That equates to 1 in 10 people worldwide. Conversational assistants, or chatbots, are a recent science creativeness that has been efficiently adapted for mental health management to present first-level help for such individuals. Compared to face-to-face consultations, people are more forthcoming in online chats. Traditional methods for sentiment analysis and consoling may not be effective with adolescents because they are reluctant to express their negative emotions in personal interaction. As a result, this project places a firm attention on utilizing virtual programs to recognize depressing or anxious symptoms in individuals and control their stress.
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