As the Machine Learning Lead, I spearheaded the creation of a robust model with an impressive 86% accuracy rate. This model is capable of determining ovulation, menstrual periods, and other vital feminine health details based on the data gathered from the wearable device. The model's high accuracy ensures that users receive reliable and actionable insights, greatly enhancing their TTC journey.