Analysis Of Irregular Menstrual Cycle And Its Consequences

Women in the 21st century is diagnosed with many kinds of health issues which are later found to be serious. One of the most worrying diseases today is Polycystic Ovarian Syndrome(PCOS) which is highly dangerous to an extent of affecting women's reproductive life to a huge extent. This causes various disorders like infertility, endometrial cancer, etc. The most prevalent symptoms of this disease are oily skin, acne, irregular menses, anxiety disorders, and hypertension. These women are also at increased risk for mood disorders, such as depression and anxiety, and non-alcoholic fatty liver. An estimation states that one in five women suffers from PCOS [1]. Many women wake up and notice the symptoms only at the time of conceiving. This is happening because of the lack of knowledge about this disorder. Our aim is to develop a medium, which helps the end user (Specially made for women) to know their Health level according to their period cycle. Data prediction provides the end user with Suggestions based on their input by classifying the data provided by the user using machine learning algorithms. In this way, the tremendous increase could be controlled and diagnosed on time.