In the rapidly evolving landscape of artificial intelligence, distinguishing machine-produced writing from authentic human expression has become a crucial challenge. As AI models grow increasingly sophisticated, their output often blur the line between real and synthetic. This necessitates the development of robust methods for unmasking AI-generate