Lydia Troup (3283)

Title: How Your Neighborhood Would Change if Income was Cut in Half; a Generative Adversarial Network of Neighborhood Imagery and Income

Project Description: 

This project involves building a generative adversarial network that works to create images of neighborhoods that represent a certain income level. This is accomplished by training the model on a self created database of satellite imagery with corresponding income levels from census block data. Additionally, a dynamic application that takes a neighborhood from a user inputted address and changes it to look like a poorer or richer neighborhood (as determined by the model) will be created.

Hometown: Falls Church, Virginia

Department: Data Science

Advisor: Daniel Runfola

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