Facial-Expression-Recognition-FER-for-Mental-Health-Detection-
Technical Summary
Facial Expression Recognition (FER) for Mental Health Detection applies AI models like Swin Transformer, CNN, and ViT for detecting emotions linked to anxiety, depression, PTSD, and OCD. It focuses on AI for mental health, emotion detection using OpenCV Python, and real-time applications in healthcare and HR systems. solving core medical data engineering challenges. It processes clinical data inputs natively through its core repository architectures. Developers can implement and deploy this directly from the source repository.
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