In this digital era data is the new fuel, hence data science is omnipresent. Data scientists are the ones who predominantly depend on AI to identify hidden patterns for better decision making in various sectors. The use of technology in healthcare and medical industry is imperative. Artificial intelligence (AI) and Machine Learning (ML) with the use of data science are providing a platform for medical doctors, biological researchers, and patience to discover insights on health and medical related disorders. According to WHO records as well as the UN's sustainability goals, child mortality is the contemporary issue globally. The present study is to identify the role of AI in eradication of under 5 years Child Mortality Rate (U5MR). The secondary data on child mortality was collected for the last three decades (1990 to 2017) and analyzed with the help of Python in order to predict the child mortality for the next six years (2018 to 2023). The results show that there is a declining trend in child mortality for all 27 identified diseases. Lower respiratory infections and Diarrheal diseases as top two causes of child mortality were also declined. However there is disparity in actual and predicted. Proactive implications of AI (Vaccination reminder, Maternal Education, Nutritional awareness) by the stakeholders could bring down the disparity seen in U5MR in India