Case Study: University of California, Davis students build seizure-prediction app with Google for Education

University of California, Davis builds seizure-prediction app with Google for Education and reaches 91% accuracy

The University of California, Davis student team used Google for Education and Google Cloud to develop a breakthrough healthcare application. Their challenge was to create a functional tool that could predict epileptic seizures by processing EEG data from a minimally supported hardware device, bridging the gap between academic research and a practical solution for users.

The solution, built using Google Cloud products like App Engine, TensorFlow, and ML Engine, was a deep learning model that analyzed brain wave data. The resulting Brainalyzer app achieved 91% accuracy in its training model for predicting seizures. Google for Education provided the tools that allowed the team to efficiently develop a minimally viable product and then a more user-friendly mobile app, creating a potential healthcare breakthrough with significant positive impact.

University of California, Davis