Multi-Modal AI for Mental Health Prediction and Intervention
Abstract
Mental health disorders are a growing concern globally, and early diagnosis remains a challenge due to limited access to mental health professionals and inherent subjectivity in self-reporting methods. This paper introduces PsyPredict, an AI-based system for predicting mental health conditions such as depression and anxiety using multi-modal data inputs, including text, video-based emotion analysis, and real-time machine learning. Through the integration of these data sources, PsyPredict offers a comprehensive and accurate mental health assessment, providing timely, actionable interventions. This paper detail the methodology, implementation, and performance of the system, concluding with potential future applications and improvements.
Fields of Study & Subjects
Emotion and Mood Recognition
Mental Health via Writing
Artificial Intelligence in Healthcare
Publication details
- Journal / source
- Journal of Diseases Disorders & Treatments
- Volume
- 6
- Issue
- 1
- Pages
- 1–1
- Publication date
- 31 January 2026
- Language
- EN