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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM55102

AI Powered Mental Health Support Chatbot

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM55102

Volume:

9 |

12 |

Dec 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

MJP

Muskan Jahangir Pathan

DKCJ

Dr. Kalyan C Jagdale

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Abstract

Mental health has become a growing concern worldwide, yet many individuals still lack access to immediate and affordable emotional support. An AI-powered mental health support chatbot is designed to provide continuous, safe, and non-judgmental assistance to users through natural, human-like conversations. This chatbot uses Natural Language Processing (NLP) and Machine Learning (ML) to understand user emotions, provide empathetic responses, and offer simple coping strategies based on cognitive behavioral techniques. The system is available 24/7, ensuring that users can express their thoughts freely without fear of stigma. While it does not replace professional therapy, the chatbot serves as a supportive companion that encourages emotional well-being, early intervention, and mental health awareness in a personalized and easily accessible manner.

KEYWORDS

Artificial Intelligence Mental Health Support Chatbot Technology Humanized Conversation Emotional Intelligence Natural Language Processing Machine Learning Empathetic Responses Cognitive Behavioral Therapy User Well-being 24/7 Virtual Support Digital Therapy Assistant Stress Management Anxiety Management Mood Detection Personalized Support.

Cite This Article

Muskan Jahangir Pathan, Dr. Kalyan C Jagdale, "AI Powered Mental Health Support Chatbot," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 12, Dec 2025.

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Publication Date

12/13/2025

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Double-Blind Peer Review

Review Rounds: 2

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5

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The authors declare no conflict of interest related to this research work.

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