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CS @ SCU
This project uses a machine learning system that with BME688 (olfactory sensor) responses to volatile organic compound mixtures to classify breath patterns associated with bacterial infection.
Our model can map the user's brainwaves to keyboard keys so they can use a computer without physically typing. Made for people who are handicapped or have a debilitating disease.
A Google Chrome extension that combats misinformation in the media.
Identifies GI cancer from data acquired from a non-invasive internal scan and tells you if the patient has cancer or any other medical condition in the GI tract.
A website where students can manage their weekly assignments, big or small, in under a few minutes.
