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
- Jacques A. de Guise (ORCID: https://orcid.org/0000-0003-0728-6403)
- S. Vijayalakshmi (ORCID: https://orcid.org/0000-0003-2146-5838)
- Nimala Deve P
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