This application leverages Artificial Intelligence (AI) and Convolutional Neural Networks (CNN) to assess sperm DNA fragmentation, a critical factor in male infertility. By analyzing microscopic images of sperm, the AI detects Active Sperms with high accuracy and speed, providing crucial insights for fertility treatments. The CNN algorithm automates the diagnostic process, reducing human error and enhancing precision in evaluating sperm quality, thus aiding personalized treatment plans and improving assisted reproductive technologies (ART) outcomes. Additionally, doctors can view statistical analyses, such as graphs, to track improvements over time and better assess the effectiveness of treatment plans.