Abstract: The present disclosure provides for monitoring brain health and predicting and detecting seizures via a wearable head ap paratus. An exemplary system includes a wearable head apparatus with a plurality of sensors. The system includes a memory device with instructions for performing a method. The method provides for first receiving electroencephalography (EEG) data and/or other data types output by the plurality of sensors. The EEG data includes electrical signals representing brain activity of a user. The method provides for processing the EEG data and/or other data types using a machine learning model to identify a time window of a subset of the EEG data and/or other data types, which represents a seizure. The method provides for tagging the time window as seizure data. A representation of the time window of the EEG data and/or other data types is then output.