Our seizure detection software software algorithm uses oculometric data (i.e, eye movements) to reliably detect a seizure. By employing machine learning capabilities, our software will also be able to predict when a seizure will occur. We expect our software to easily interface and/or integrate with other eye tracking systems (eg. smart glasses) and therapeutic devices (eg. neuromodulation).