Alleviate Children's Health Issues through Games and Machine Learning

GitHub Repository

Developed a suite of games designed to help children’s affected by disabilities. These games are synchronised with a wireless EEG wearable device used to register the children brain activities. Analysing the brainwaves data, using Machine Learning, has then been possible to correctly classify with 96.9% accuracy if a child is affected or not by autism.


This project was carried out as completion of my Undergraduate Degree in Electronic Engineering at the University of Southampton. For this project, I received an Award for “Outstanding Computer Science Project” by the faculty of Electronics and Computer Science. My Final Report for this project is available to download using following button.

Dissertation Download

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