The Genetics Inspection Tool is an innovative platform that revolutionizes Polymerase Chain Reaction (PCR) primer design by integrating advanced artificial intelligence (AI) techniques. While traditional primer design methods may have served researchers well in the past, they are often manual, time-consuming, and prone to errors, which affect scalability in today’s growing genomic research. This paper addresses the shortcomings of conventional primer design by introducing a framework for a tool that employs machine learning algorithms trained on extensive genomic datasets. This approach automatically generates optimal primer sequences adapted to specific experimental needs, dramatically enhancing both speed and reliability in the design process. Its self-learning capabilities adapt based on user feedback and experimental results, further optimizing efficiency and accuracy in primer design. Our findings demonstrate that this AI-driven solution will streamline molecular biology research, paving the way for significant advancements in genetic research and therapeutic development. The Genetics Inspection Tool represents a critical leap forward, setting a new standard in the field.