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# Team-4-AI-4-Good-lab
# AI4Good Lab - Project

In this project, we seek to expand the existing work that has been conducted by [Jean et al](http://sustain.stanford.edu/predicting-poverty) predicting poverty. We use the [pytorch replication](https://github.com/jmather625/predicting-poverty-replication) done by Jatin Mathur. We explore new countries in West Africa and approach the problem from the angle of education, a topic which is intricately linked with global poverty.

## Motivation

The stark lack of reliable data in developing countries is a major obstacle to sustainable development. This data drought should be addressed if we hope to inform policy decisions and help direct humanitarian efforts. The use of satellite data may be a way to do this, as remote satellite imagery is becoming increasingly available and inexpensive.

## Data

We use the same data sources as the original projects: The World Bank, Google Maps, and Night time lights.