AI4MentalWellness: Democratizing access to mood insights and professional mental health guidance

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Authors: Durga Bhavani Sankabathula, Tapaswini Chinde, Gousia Rahmani Shaik, Poojitha Dommeti
Cited by: 0
References: 7

Abstract

AI4MentalWellness is an AI based model that aims to level access to mood knowledge and professional mental health advice through a user-friendly and free-to-use application. The system helps users to monitor the emotional states on a regular basis, note the daily experiences and discover the pattern of stresses through smart analysis tools. The platform enhances self-awareness of mental health risks and early intervention by converting self-reported data into useful mood inferences. Another impact of the application is that it offers a safe platform upon which users are able to communicate with therapists in a bid to help the professionals to comprehend emotional patterns and provide customized support. The presented structure is centered on simplicity, privacy, and constant interaction to develop positive mental health habits. It will address the issues of stigma reduction, emotional self-monitoring, and enhance access to care among individuals who do not seek help early. This study shows that mood analysis using AI can assist in preventing mental health and enhancing emotional well-being among various groups in society. AI4MentalWellness is an AI based model that aims to level access to mood knowledge and professional mental health advice through a user-friendly and free-to-use application. The system helps users to monitor the emotional states on a regular basis, note the daily experiences and discover the pattern of stresses through smart analysis tools. The platform enhances self-awareness of mental health risks and early intervention by converting self-reported data into useful mood inferences. Another impact of the application is that it offers a safe platform upon which users are able to communicate with therapists in a bid to help the professionals to comprehend emotional patterns and provide customized support. The presented structure is centered on simplicity, privacy, and constant interaction to develop positive mental health habits. It will address the issues of stigma reduction, emotional self-monitoring, and enhance access to care among individuals who do not seek help early. This study shows that mood analysis using AI can assist in preventing mental health and enhancing emotional well-being among various groups in society.

Fields of Study & Subjects

Digital Mental Health Interventions Emotion and Mood Recognition Mental Health via Writing

Publication details

Journal / source
International Journal of Science and Research Archive
Volume
18
Issue
3
Pages
332–338
Publication date
5 March 2026
Language
EN