In the evolving world, we require more additionally the young era to flourish and evolve into developed land. Most of the population all around the world are unaware of the complications involved in the routine they follow while they are pregnant and how hospital facilities affect maternal health. Maternal Mortality is the death of a pregnant woman due to intricacies correlated to pregnancy, underlying circumstances exacerbated by the pregnancy or management of these situations. It is crucial to consider the Maternal Mortality Rate (MMR) in diverse locations and determine which human routines and hospital facilities diminish the Maternal Mortality Rate (MMR). This research aims to examine and discover the countries which are keeping more lavish threats of MMR and countries alike in MMR encountered. Data is examined and collected for various countries, data consists of the earlier years' observation. From the perspective of Machine Learning, Unsupervised Machine Learning is implemented to perform Cluster Analysis. Therefore the pairs of countries with similar MMR as well as the extreme opposite pair concerning the MMR are found.

Its other two initiatives center on developing software that turn mobile phones into health tools. The first, an extension of Google's past work using artificial intelligence to detect diabetic retinopathy from specialty retinal scans, uses a cellphone camera to take a picture of a person's eye from which it can detect signs of diabetic retinopathy. The third project revolves around software that can turn a smartphone into a stethoscope. All of these ideas seek to position Google at the forefront of both artificial intelligence in healthcare and the future of health at home. Whether these inventions will really deliver on that promise is up for debate.

The United States has the highest maternal mortality rate of all high-income countries. Compared to women in Canada and France, women in the United States are twice as likely to die from childbirth complications. This crisis is especially pronounced in ethnic and racial minority populations: Black and Native American women in the United States are much more likely to perish from pregnancy-related complications than their white counterparts and are more likely to suffer severe maternal morbidity due to postpartum hemorrhage, hypertensive disorders, and sepsis. The impact of the Covid-19 pandemic on these groups is not yet known, but given the way it has exacerbated racial inequities nationally and globally, it is expected to have made the situation worse. However, data from the U.S. Centers for Disease Control and Prevention (CDC) suggests that approximately 60% of maternal deaths are preventable. Not only would this strategy improve outcomes, it would also significantly reduce medical costs.