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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

Issue per Year : 12

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Paper Title: INNER VOICE: A CONVERSATIONAL AI SOLUTION FOR MENTAL HEALTH CARE
Authors Name: Ananya Gupta , Kirti Kushwah , Aditya Verma , Anukriti Khare , Prakarsh Yadav
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IJRTI_203682
Published Paper Id: IJRTI2505217
Published In: Volume 10 Issue 5, May-2025
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Abstract: The rise of artificial intelligence (AI) chatbots since 2022 has transformed digital mental health care by leveraging big data, natural language processing (NLP), and machine learning (ML) algorithms. These conversational agents provide scalable, continuous support and enhance user engagement, addressing critical global mental health challenges such as limited access, stigma, and high costs associated with traditional care. The integration of Human–Artificial Intelligence (HAI) principles is vital for embedding empathy, ethical considerations, and human values into these tools, mitigating limitations while amplifying their effectiveness. This review investigates the evolving role of AI chatbots in mental health care, focusing on their integration into digital platforms, the balance between benefits and potential harms, and strategies for mitigating bias while fostering inclusivity. Drawing on a comprehensive analysis of peer-reviewed studies and real-world feedback, the review highlights the promise of AI chatbots as accessible, user-friendly mental health tools. Although they offer therapeutic potential, including the ability to foster an emotional sanctuary, significant challenges persist, including ethical concerns, the need for rigorous safety protocols, and enhancing their capacity for nuanced, therapeutic conversations. Addressing these challenges is crucial to developing responsible and trustworthy AI systems that maximize benefits for diverse populations.
Keywords: AI chatbots, human–artificial intelligence, digital mental health, mental health care, cognitive behavioural therapy, ethical AI, user engagement, natural language processing, machine learning.
Cite Article: "INNER VOICE: A CONVERSATIONAL AI SOLUTION FOR MENTAL HEALTH CARE ", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 5, page no.c179-c188, May-2025, Available :http://www.ijrti.org/papers/IJRTI2505217.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2505217
Registration ID:203682
Published In: Volume 10 Issue 5, May-2025
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Page No: c179-c188
Country: GHAZIABAD, Uttar Pradesh, India
Research Area: Computer Science & Technology 
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2505217
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2505217
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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