Polycystic ovary syndrome (PCOS) is a common endocrine disorder affecting around 10% of women worldwide and nearly 13% of women in Bangladesh. This condition can lead to various adverse pregnancy outcomes, including infertility. Early detection of PCOS can help women manage their symptoms and reduce the risk of complications. However, due to a lack of awareness, limited access to specialised medical care, the high cost of diagnosis, and social and cultural stigma, around 70% of women remain undiagnosed and continue to suffer from its effects.
Develop a mobile application that uses a machine learning model to help women assess their risk of developing PCOS at an early stage.
