 This paper proposes a novel system that uses machine learning and edge computing technologies to decode brain visual dynamics from ALS patients. The system is able to recognize I-to-word correspondence at a high accuracy of 90.47 percent. This technology could potentially provide ALS patients with a way to communicate without having to rely on traditional methods. This article was authored by Jed Auzo and Ching Shui Zhang.