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AI in Mental Health: Analyzing the Role of Mental Well in Psychological Disorder Prevention and Management

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AI in Mental Health: Analyzing the Role of Mental Well in Psychological Disorder Prevention and Management


Ms. Juhi Purankar | Ms. Kiranjot Kaur Lehal | Prof. Jyoti Tiwari | Prof. Usha Kosarkar



Ms. Juhi Purankar | Ms. Kiranjot Kaur Lehal | Prof. Jyoti Tiwari | Prof. Usha Kosarkar "AI in Mental Health: Analyzing the Role of Mental Well in Psychological Disorder Prevention and Management" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies, January 2025, pp.480-486, URL: https://www.ijtsrd.com/papers/ijtsrd75024.pdf

Artificial Intelligence (AI) has emerged as a transformative tool in mental health care, offering innovative solutions for the prevention and management of psychological disorders. This paper explores the role of Mental Well, an AI-driven platform, in addressing key challenges in mental health. By leveraging advanced algorithms, natural language processing, and machine learning, Mental Well provides early detection of mental health risks, personalized therapeutic recommendations, and continuous monitoring of patients’ emotional well-being.The platform utilizes data from diverse sources, including user-reported symptoms, behavioral patterns, and physiological metrics, to deliver accurate and timely insights. It facilitates preventive care by identifying potential mental health concerns before they escalate and supports clinicians with decision-making through real-time analytics. Additionally, Mental Well empowers individuals to manage their mental health proactively via tailored interventions such as mindfulness exercises, cognitive behavioral therapy (CBT) modules, and stress management techniques.This paper highlights the efficacy of AI in enhancing accessibility, efficiency, and outcomes in mental health care while addressing ethical considerations like data privacy and algorithmic bias. The findings underscore the potential of AI-powered platforms like Mental Well in revolutionizing mental health prevention and treatment, paving the way for more integrated and patient-centered care systems.

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IJTSRD75024
Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies, January 2025
480-486
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

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