This research presents a novel strategy for improving the treatment of epilepsy by combining neurological monitoring with Internet of Things (IoT) technology. The findings of this study have the potential to significantly advance the field. The methodology that has been developed allows the predictive surveillance of seizure occurrences by the seamless integration of real-time data collected from wearable devices with sophisticated analytics. The system uses algorithms designed to learn from machine data to recognize tiny physiological changes that precede seizures. This enables early intervention. The IoT-enabled platform provides therapeutic insights in addition to seizure prediction. These insights are obtained by combining information supplied by the patient with objective data. This helps to create a full knowledge of both triggers and reactions. This game-changing collaboration between neurology and the Internet of Things gives patients individualized insights, enabling them to proactively manage their illnesses and make choices based on accurate information. Ultimately, this study will alter epilepsy treatment by improving patient wellness, clinical decision-making, and the possibility of developing innovative therapeutic options. © 2024 Elsevier B.V., All rights reserved.