Epilepsy is a neurological disorder that affects millions globally, with diagnosis often relying on electroencephalogram (EEG) analysis. However, age-specific differences in EEG patterns pose a significant challenge, particularly for teenagers. Current diagnostic tools, primarily designed for adults, fail to account for the unique neurophysiological characteristics of adolescents, leading to false-positive rates as high as 50%. This study compares EEG features between teenage and adult epileptic patients to identify key differences and address this diagnostic gap. Using feature extraction techniques, including kurtosis, skewness, and frequency-domain analysis, we observe sharper peaks and higher variability in teenage EEGs, while adult EEGs exhibit more stable patterns. These findings highlight the critical need for age-specific diagnostic tools to reduce misdiagnoses and improve epilepsy treatment outcomes. Bridging this gap, the research aims to pave the way for more accurate and personalised healthcare solutions for younger patients.