Preeclampsia ranks as one of the leading causes of mortality during pregnancy, accounting for approximately 500,000 infant and 70,000 maternal deaths annually. Through this project, our objective is to mitigate the negative outcomes associated with preeclampsia. By leveraging advanced predictive models, we aim to accurately assess the risk of preeclampsia in pregnant women immediately following the first trimester. This early detection approach is pivotal in enhancing maternal and infant health outcomes.