Polycystic Ovary Syndrome (PCOS) affects 5 million women approximately of reproductive age globally. A polycystic ovary and hormonal imbalance lead to irregular menstrual cycles in women. As artificial intelligence (AI) technology becomes more prevalent in healthcare, it is predominantly used to detect and prevent PCOS at early stages. AI is a potential remedy for PCOS risk factors in the present study. The integration of AI into the analysis of complex health data and identification of abnormalities that may indicate hormonal imbalances, along with the development of personalized prevention strategies tailored to each patient’s unique lifestyle, diet, and health profile, enables healthcare providers to identify PCOS symptoms. The application of AI enables rapid intervention and management of reproductive health. In this way, women can take preventative measures and stay informed ahead of time. The article illustrates AI’s advantages when it comes to analyzing complex health data, which may reveal early signs of hormonal imbalance. Furthermore, bespoke prevention strategies can be designed based on the specific needs of each individual, thus improving their overall health, particularly if they are at risk for PCOS.