> For the complete documentation index, see [llms.txt](https://irosyadi.gitbook.io/irosyadi/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://irosyadi.gitbook.io/irosyadi/machine-learning/face-expression-detection.md).

# Face Expression and Detection

* [Jeeliz](https://jeeliz.com/) [Github](https://github.com/jeeliz/jeelizWeboji): open source, web app
  * for **Drowsiness detection**, by [Abhilash26](https://github.com/abhilash26) aka [Dinodroid](https://ko-fi.com/dinodroid): Be sure to don't fall asleep when driving thanks to this webapp! You can try it here: [dont-drive-drowsy.glitch.me](https://dont-drive-drowsy.glitch.me/), [view the source code](https://github.com/abhilash26/dont-drive-drowsy) or a [demo video](https://www.youtube.com/watch?v=FjqySZE8CTY)
  * for **Expressions reader**, by [Abhilash26](https://github.com/abhilash26) aka [Dinodroid](https://ko-fi.com/dinodroid): detects 5 high level expressions (happiness, fear, anger, surprise, sadness) from the morph coefficients given by this lib, and display them as smileys. You can try it here: [emotion-reader.glitch.me](https://emotion-reader.glitch.me/) or [browse the source code](https://github.com/abhilash26/emotion-reader)
  * [Realtime Facial Emotion Analyzer](https://github.com/susantabiswas/realtime-facial-emotion-analyzer)