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Title: :  AI-Based Anonymous Confession Platforms for Mental Health Support
PaperId: :  28037
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 12 Issue 1 2026
DUI:    16.0415/IJARIIE-28037
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Tanvi WadhaiPriyadarshini College of Engineering Nagpur
Vaishnavi Mashakhetri Priyadarshini College of Engineering Nagpur
Rushabh inglePriyadarshini College of Engineering Nagpur
Gulshan NagalwadePriyadarshini College of Engineering Nagpur
Mrs. Umme Ayeman Saqib GaniPriyadarshini college of Engineering Nagpur

Abstract

Health Science
Mental Health, Anonymous Confession Platforms, AI Chatbots, Emotional Well-being, Natural Language Processing, Privacy and Ethics.
Mental health challenges have become a significant global concern, especially among young adults, due to increasing academic pressure, social isolation, and limited access to professional psychological support. Many individuals hesitate to share their emotions openly because of fear of judgment, social stigma, or lack of anonymity. To address this issue, anonymous digital platforms have emerged as a promising solution for emotional expression and mental well-being support. This review paper analyzes existing research on AI-based mental health chatbots, anonymous confession systems, and natural language processing techniques used for emotion detection and supportive response generation. The study systematically reviews recent literature to understand the effectiveness, benefits, and limitations of current solutions in providing emotional support while ensuring user privacy. A comparative analysis of selected studies highlights gaps such as limited personalization, insufficient emotional safety mechanisms, and ethical concerns related to data privacy. Based on these findings, the paper discusses the potential role of an AI-powered anonymous confession platform, referred to as a Confession Box, which enables users to express emotions freely while receiving empathetic and supportive responses. The review concludes by emphasizing the need for secure, emotionally intelligent, and ethically designed confession-based systems to enhance mental health support in digital environments.

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IJARIIE Tanvi Wadhai, Vaishnavi Mashakhetri , Rushabh ingle, Gulshan Nagalwade, and Mrs. Umme Ayeman Saqib Gani. "AI-Based Anonymous Confession Platforms for Mental Health Support" International Journal Of Advance Research And Innovative Ideas In Education Volume 12 Issue 1 2026 Page 914-919
MLA Tanvi Wadhai, Vaishnavi Mashakhetri , Rushabh ingle, Gulshan Nagalwade, and Mrs. Umme Ayeman Saqib Gani. "AI-Based Anonymous Confession Platforms for Mental Health Support." International Journal Of Advance Research And Innovative Ideas In Education 12.1(2026) : 914-919.
APA Tanvi Wadhai, Vaishnavi Mashakhetri , Rushabh ingle, Gulshan Nagalwade, & Mrs. Umme Ayeman Saqib Gani. (2026). AI-Based Anonymous Confession Platforms for Mental Health Support. International Journal Of Advance Research And Innovative Ideas In Education, 12(1), 914-919.
Chicago Tanvi Wadhai, Vaishnavi Mashakhetri , Rushabh ingle, Gulshan Nagalwade, and Mrs. Umme Ayeman Saqib Gani. "AI-Based Anonymous Confession Platforms for Mental Health Support." International Journal Of Advance Research And Innovative Ideas In Education 12, no. 1 (2026) : 914-919.
Oxford Tanvi Wadhai, Vaishnavi Mashakhetri , Rushabh ingle, Gulshan Nagalwade, and Mrs. Umme Ayeman Saqib Gani. 'AI-Based Anonymous Confession Platforms for Mental Health Support', International Journal Of Advance Research And Innovative Ideas In Education, vol. 12, no. 1, 2026, p. 914-919. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/AI_Based_Anonymous_Confession_Platforms_for_Mental_Health_Support_ijariie28037.pdf (Accessed : ).
Harvard Tanvi Wadhai, Vaishnavi Mashakhetri , Rushabh ingle, Gulshan Nagalwade, and Mrs. Umme Ayeman Saqib Gani. (2026) 'AI-Based Anonymous Confession Platforms for Mental Health Support', International Journal Of Advance Research And Innovative Ideas In Education, 12(1), pp. 914-919IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/AI_Based_Anonymous_Confession_Platforms_for_Mental_Health_Support_ijariie28037.pdf (Accessed : )
IEEE Tanvi Wadhai, Vaishnavi Mashakhetri , Rushabh ingle, Gulshan Nagalwade, and Mrs. Umme Ayeman Saqib Gani, "AI-Based Anonymous Confession Platforms for Mental Health Support," International Journal Of Advance Research And Innovative Ideas In Education, vol. 12, no. 1, pp. 914-919, Jan-Feb 2026. [Online]. Available: http://ijariie.com/AdminUploadPdf/AI_Based_Anonymous_Confession_Platforms_for_Mental_Health_Support_ijariie28037.pdf [Accessed : ].
Turabian Tanvi Wadhai, Vaishnavi Mashakhetri , Rushabh ingle, Gulshan Nagalwade, and Mrs. Umme Ayeman Saqib Gani. "AI-Based Anonymous Confession Platforms for Mental Health Support." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 12 number 1 ().
Vancouver Tanvi Wadhai, Vaishnavi Mashakhetri , Rushabh ingle, Gulshan Nagalwade, and Mrs. Umme Ayeman Saqib Gani. AI-Based Anonymous Confession Platforms for Mental Health Support. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2026 [Cited : ]; 12(1) : 914-919. Available from: http://ijariie.com/AdminUploadPdf/AI_Based_Anonymous_Confession_Platforms_for_Mental_Health_Support_ijariie28037.pdf
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