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DESCRIPTION
In collaboration with Tetra Society of North America to create accessibility appliances for ALS patients

Countless patients suffer from muscle weakening related illnesses. In turn they are unable to operate the buttons or physical control interfaces. In this case recliners and medical chairs often can only be used by the care takers.

The solution is using machine learning to understand what the patient is saying. The product not only has the ability to learn and understand English, but rather any language or constant sound that can be reproduced and identifiable

The budget provided for this project is $150, out of which $149.60 was used
Voice Controlled Reclining Chair Remote w/ Raspberry Pi
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