Facial-Expression-Recognition-FER-for-Mental-Health-Detection-
The premium Open Source alternative to Affectiva
🎯 Best for:Medical researchers building automated diagnostic tools.
What is Facial-Expression-Recognition-FER-for-Mental-Health-Detection-?
An AI-driven alternative to Affectiva for clinical emotion detection. It implements Swin Transformer and ViT models to identify markers of PTSD and depression via OpenCV video processing.
Tech Stack
PythonMental Health
Why Facial-Expression-Recognition-FER-for-Mental-Health-Detection-?
- • State-of-the-art ViT architectures
- • Real-time OpenCV integration
- • No recurring API costs
Limitations
- • High GPU hardware requirements
- • Complex environment setup
- • Requires Python expertise
2/25/2026
Last Update
7
Forks
0
Issues
MIT
License
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Competitor Cost
-$1,440
/ year (est. based on Affectiva)
Self-Hosted
$0
/ year
Team Size10 Users
150+
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