Unveiling the Layers of Mental Health: A Comprehensive Analysis

Overall health is greatly impacted by mental health illnesses, which therefore makes it necessary for creative methods of early identification and care. In order to provide a thorough mental health assessment, a multimodal mental health analysis technique that combines standardized test responses and visual data is presented by this study. The suggested framework makes use of computer vision techniques to analyse facial expressions and microexpressions and also analyses behaviour by responses of the standardized questions. The incorporation of the suggested method into telemedicine platforms has the possibility of providing reliable, accessible and expandable mental health services. Future research of this study will concentrate on increasing the diversity of the dataset and improving real time performance. To generate these modalities more accurate blends are built using very advanced machine learning So far preliminary results indicate that there is a high prediction rate with regards to the stress anxiety depression triad.