This technology predicts egg quality by evaluating key factors such as size, shape, and cytoplasmic characteristics while examining egg images. Utilizing advanced pattern recognition techniques, our AI-powered systems identify subtle indicators within egg images, revealing details that indicate egg quality and developmental potential. Continuously learning from an extensive image database, these systems enhance accuracy in egg selection. Furthermore, predictive modelling, utilising data from previous IVF cycles, enables our AI models to predict the likelihood of successful embryo development from individual eggs. This predictive capability assists specialists in making informed decisions, thereby improving the precision and success of the egg selection process.