From the first maternal level up to the delivery, there is high risk in women's health factors. Nowadays, severe maternal problems lead to crucial health issues in pregnant women. These problems may occur either during pregnancy or delivery time or after delivery according to the women health conditions. These crucial issues will become a risk for the mother’s and baby’s life. These maternal conditions during delivery are not easy to detect at the early stage of pregnancy. In this paper, some of the important pregnancy complications are addressed with their symptoms and treatment. Based on the study, different methodologies are discussed to prevent and avoid pregnant women's complications and for childbirth. The main aim of this study is to improve the maternal and fetal outcomes irrespective of the places. In this paper, a sample dataset in India is taken to show the Maternal Mortality Rate (MMR) by considering the values from the year 2010 to 2030. More analysis of MMR can be done by considering different countries, which will be helpful to solve the occurrence of risk factors either during or after pregnancy. Consequently, this analysis may avoid pregnancy death rates. The main work is to improve the maternal and fetal outcomes by strengthening the pregnant women health. Future work will be applying different machine learning methodologies to detect the risk level of severe maternal morbidity.