SoulSync GenAI Dynamics: Personalized AI for Adaptive Mental Health Solutions

- 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

Authors

Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-02-20
DOI
https://doi.org/10.55041/ijsrem41693
Primary Topic
Mental Health Research Topics
Type
article
Field-Weighted Citation Impact
0.00
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article

SoulSync GenAI Dynamics: Personalized AI for Adaptive Mental Health Solutions

Prof. Nikita Gosavi
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Mental Health Research Topics
article

SoulSync GenAI Dynamics: Personalized AI for Adaptive Mental Health Solutions

Prof. Nikita Gosavi
article en

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

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(02)
Openalex Percentile: Top 97%
Mental Health Research Topics
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