User Acceptance Testing (UAT) is a crucial phase in the software development life cycle. It ensures that the developed software meets the requirements and expectations of the end-users. With the exponential growth of software applications and increasing complexity, the traditional methods of UAT have become time-consuming and error-prone. The integration of Artificial Intelligence (AI) into UAT promises to address these challenges, streamlining processes and improving accuracy.