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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM40887

MENTAL HEALTH AI CARE CHATBOT

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM40887

Volume:

9 |

1 |

Jan 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM40887

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

PRC

Prof. Rachna Chapte

ASP

Ayesha Shehbaz Purkar

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Abstract

Always Mental disability and Mental health care have been overlooked. This is puzzling considering that 8% of the world’s population suffers from mental impairments, which are widespread. A scalable option that offers an interactive way to engage consumers in behavioral health interventions powered by artificial intelligence is a chatbots. Anxiety, stress, etc. provides a critical first step in enhancing chatbot design and revealing the advantages and disadvantages of the chatbots. In this report, a customized chatbot framework is proposed with a blended neural network design. The recommended chatbot is a virtual health assistant & it is cost-effective and less time-consuming. It includes chat features, many languages voice input & a recommendation tool to improve users’ mood. To improve the performance of the proposed system, the chatbot is further integrated with

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Cite This Article

Prof. Rachna Chapte, Ayesha Shehbaz Purkar, "MENTAL HEALTH AI CARE CHATBOT," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 1, Jan 2025. https://doi.org/10.55041/IJSREM40887

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Publication Date

1/19/2025

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Double-Blind Peer Review

Review Rounds: 2

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

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