Maternal health risk remains a significant global public health challenge, particularly in low- and middle-income countries. Approximately 287,000 women died in 2020 from preventable pregnancy and childbirth complications (WHO). This project classifies maternal health risk levels using random forest and logistic regression in R, addressing factors such as preeclampsia, hemorrhage, and access to quality care.