  Fatigue detection is of paramount importance in enhancing safety,
productivity, and well-being across diverse domains, including transportation,
healthcare, and industry. This scientific paper presents a comprehensive
investigation into the application of machine learning algorithms for the
detection of physiological fatigue using Electroencephalogram (EEG) signals.
The primary objective of this study was to assess the efficacy of various
algorithms in predicting an individual's level of fatigue based on EEG data.
