AI-Powered Holistic Mental Health Monitoring: Integrating Facial Emotion Recognition, Chatbot, and Voicebot for Personalized Support

The proposed system will be enabled with various AI technologies of face emotion recognition, an emotional chatbot, and voice bot. Increasing awareness about the problems of mental health creates a demand for innovative solutions capable of filling the gaps in conventional mental health care. Our proposed system integrates pioneering support with the help of advanced AI techniques that offer personalized and accessible support to persons suffering from psychological distress. Face emotion recognition systems use advanced algorithms to detect, in real time, facial expressions, and therefore the emotional states or conditions of the users. The emotional chatbot can further include the user in empathetic conversations by offering customized emotional support and resources with natural language processing and sentiment analysis. This additional voice bot feature is expanding accessibility by enabling users to engage in therapeutic dialogues and get customized recommendations for self-care. With that, this AI-enabled mental health monitoring system integrates all those components specified herein in tandem, so as to bring a revolution in mental health care that nurtures resilience and well-being among individuals globally.

Authors

Publication Details

Published
2025-03-28
DOI
https://doi.org/10.1109/icdsaai65575.2025.11011757
Citations
2
Primary Topic
Mental Health via Writing
Type
article
Field-Weighted Citation Impact
4.88
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article

AI-Powered Holistic Mental Health Monitoring: Integrating Facial Emotion Recognition, Chatbot, and Voicebot for Personalized Support

Jacques A. de Guise, S. Vijayalakshmi, Nimala Deve P
2 citations
Mental Health via Writing
4.88
article

AI-Powered Holistic Mental Health Monitoring: Integrating Facial Emotion Recognition, Chatbot, and Voicebot for Personalized Support

Jacques A. de Guise, S. Vijayalakshmi, Nimala Deve P
article en
2 citations

Abstract

The proposed system will be enabled with various AI technologies of face emotion recognition, an emotional chatbot, and voice bot. Increasing awareness about the problems of mental health creates a demand for innovative solutions capable of filling the gaps in conventional mental health care. Our proposed system integrates pioneering support with the help of advanced AI techniques that offer personalized and accessible support to persons suffering from psychological distress. Face emotion recognition systems use advanced algorithms to detect, in real time, facial expressions, and therefore the emotional states or conditions of the users. The emotional chatbot can further include the user in empathetic conversations by offering customized emotional support and resources with natural language processing and sentiment analysis. This additional voice bot feature is expanding accessibility by enabling users to engage in therapeutic dialogues and get customized recommendations for self-care. With that, this AI-enabled mental health monitoring system integrates all those components specified herein in tandem, so as to bring a revolution in mental health care that nurtures resilience and well-being among individuals globally.

Gender equality
Openalex Percentile: Top 6%
Mental Health via Writing
4.88
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AI-Powered Holistic Mental Health Monitoring: Integrating Facial Emotion Recognition, Chatbot, and Voicebot for Personalized Support — Jacques A. de Guise, S. Vijayalakshmi, et al. · (2025) | TGRS Research Map | TGRS