Client: A global brain research institute.

Objective: Design a machine-learning model to detect specific nervous system disorders.

Solution and Outcome: With the help of electroencephalogram (EEG) device, brain response to media clips was captured in patients vs. health individuals. Signals were then converted into usable training datasets. By deep learning and convolution network, supported by image recognition and Natural language Processing technology, an Artificial Intelligence (AI) system was created. This system can help diagnose nervous system disorders in patients based on visual and audio responses to stimuli (such as movie clips).