Internet of Things (IoT) is increasingly used in smart health monitoring. Existing systems collect basic vital information. This study proposes a system analyzing brain signals from 24 EEG channels for patients with Cerebral Palsy (CP), using Machine Learning and Neural Networks in Python. Data is preprocessed, filtered using PCA, and analyzed to predict seizures and suggest tentative treatment, with optimized solutions provided via cloud storage access. © 2023 Elsevier B.V., All rights reserved.