Poverty Mapper

Poverty Mapper is a capstone project for the UC Berkeley Master of Data and Information Science program. The project uses deep learning on satellite data to make predictions about poverty prevalence within and across five Asian countries: Bangladesh, Nepal, The Philippines, Tajikistan, and Timor Leste.

Our mission is to help international development NGOs to make better decisions about how to allocate resources by filling gaps in poverty data