Engineered an innovative project for epilepsy disorder classification by harnessing EEG signals, attaining an outstanding accuracy rate of 95% in identifying diverse seizure types. Implemented sophisticated signal processing techniques and advanced machine learning algorithms, enhancing the system's precision and efficiency in classification.