Polycystic Ovary Syndrome (PCOS) is a common endocrine condition among women of reproductive age and its early diagnosis prevents long-term complications; however, this diagnosis presents difficulties due to the variability of symptoms, cultural taboos and the need for laboratory and imaging tests interpreted by specialists in Gynecology. On the other hand, Artificial Intelligence (AI) techniques have shown great potential to help in the early detection of different diseases. Currently, women in rural and semi-rural areas have little access to specialists and studies, so it is considered useful to have a health platform, which includes AI techniques, in mobile and web environments, that supports the detection of PCOS. This article shows the result of the systems analysis for the aforementioned platform, presenting the functional and non-functional requirements compiled with the help of health professionals in General Medicine and Gynecology.