Empowering Mental Health Care with AI and ML

Abstract: Mental health disorders such as anxiety, depression, and stress are increasingly prevalent,yet accessing professional support remains a challenge due to social stigma, financial barriers, and the limited availability of mental health professionals. This paper explores the development of an AI-driven chatbot designed to provide real-timeemotional support through advanced Natural Language Processing (NLP) and sentimentanalysis. The chatbot is engineered to engage users in meaningful conversations, assessemotional states, and recommend personalized coping strategies. By ensuring accessibilityand confidentiality, this system presents a revolutionary approach to bridging the gap inmental health care, offering immediate assistance to individuals who may otherwise lacksupport

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-04-05
DOI
https://doi.org/10.22214/ijraset.2025.68219
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Empowering Mental Health Care with AI and ML

Aliyu Mande, Ketaki Kulkarni, Prof. Shubhangi Nirgide, Rutuja Kadam et al.
1 links
International Journal for Research in Applied Science and Engineering Technology
Artificial Intelligence in Healthcare and Education
article

Empowering Mental Health Care with AI and ML

Aliyu Mande, Ketaki Kulkarni, Prof. Shubhangi Nirgide, Rutuja Kadam, Om Mojad
article en

Abstract

Abstract: Mental health disorders such as anxiety, depression, and stress are increasingly prevalent,yet accessing professional support remains a challenge due to social stigma, financial barriers, and the limited availability of mental health professionals. This paper explores the development of an AI-driven chatbot designed to provide real-timeemotional support through advanced Natural Language Processing (NLP) and sentimentanalysis. The chatbot is engineered to engage users in meaningful conversations, assessemotional states, and recommend personalized coping strategies. By ensuring accessibilityand confidentiality, this system presents a revolutionary approach to bridging the gap inmental health care, offering immediate assistance to individuals who may otherwise lacksupport

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(4)
Openalex Percentile: Top 96%
Artificial Intelligence in Healthcare and Education
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