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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM41693

SoulSync GenAI Dynamics: Personalized AI for Adaptive Mental Health Solutions

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM41693

Volume:

9 |

2 |

Feb 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM41693

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

.PB

. Pratiksha Bhoite

NG

Nikita Gosavi

SG

Sneha Gavande

.DC

. Darshan Chaudhari

PR

Prajwal Ratnaparkhi

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Abstract

Mental fitness problems have worsened due to isolation and far off work, emphasizing the want for timely intervention and tracking. AI chatbots, pushed by way of improvements in large records, NLP, and ML, are remodeling intellectual health care by enhancing get entry to and lowering stigma. The concept of Human–Artificial Intelligence (HAI) emphasizes embedding empathy, ethics, and human values into AI to address conventional boundaries. This literature evaluate examines how AI chatbots can reshape intellectual health aid even as highlighting the moral and legal concerns they create. By specializing in responsible law, decreasing biases, and integrating HAI principles, AI chatbots can offer good sized advantages for digital mental health, supplied these demanding situations are cautiously controlled. The potential for AI-pushed answers to beautify patient engagement and create personalised interventions marks a good sized step forward, yet requires ongoing commitment to privacy and transparency.

KEYWORDS

Mental health isolation intervention monitoring AI chatbots big data NLP ML access stigma HAI empathy ethics values limitations support regulation biases engagement personalization privacy transparency

Cite This Article

. Pratiksha Bhoite, Nikita Gosavi, Sneha Gavande, . Darshan Chaudhari, Prajwal Ratnaparkhi, "SoulSync GenAI Dynamics: Personalized AI for Adaptive Mental Health Solutions," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 2, Feb 2025. https://doi.org/10.55041/IJSREM41693

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Publication Date

2/20/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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2

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5

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Conflict of Interest

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

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No funding information available for this research.

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