FEM simplifies ovulation tracking by automatically measuring basal body temperature and analyzing menstrual cycle data with minimal user effort. Utilizing integrated sensors, FEM captures key physiological indicators like pH levels and menstrual flow, enhancing fertility insights. Additionally, it incorporates lifestyle factors from the Apple Watch, such as sleep quality and physical activity, ensuring accurate cycle predictions. FEM is ideal for those seeking natural family planning methods or hormone-free contraception, providing reliable and personalized cycle tracking.

Supervisior - Prof. Andreas Ingerl