In the year 2015, United Nation member states proposed a blueprint for a better and sustainable world named Sustainable Development Goal (SDG) with 17 goals and 169 targets which need to be accomplished by the year 2030. One of the major challenges is tracking the development to visualize the progress towards sustainability. The problems are more severe in developing and poor countries due to lack of reliable data sources. Our aim is to track the principal goals such as Climate Action (Goal-13), Food Security (Goal-2), Poverty (Goal-1), Water Security (Goal-6), Clean Energy (Goal-7), Health (Goal-3) and Education (Goal-4) using machine learning and remote sensing (as the satellite data are hugely available). We intend to develop a better machine learning algorithm which will incorporate historical and satellite data to track those goals with high accuracy. Though the satellite data is highly unstructured & noisy but we are trying to cope with the challenges.