Developed by Blake Sharp, Alan Johnson, and Jonathan Jang for DefHacks 2021.

This project will assist real estate investors by identifying areas experiencing gentrification. With this knowledge, real estate investors can intelligently invest in communities that are experiencing economic growth for a profit.

This program implements a modification of the McKinnish, et al model of gentrification and displays any other necessary information in order to determine if a city is experiencing gentrification.

• Install dependencies:
  • Open a command window and type:
    • pip install matplotlib
    • pip install seaborn
• In a command window run python main.py.
• inputs the desired US city and state(abbreviated - All Caps), a graph will appear that illustrates the housing value of both the low tier and high tier housing of that city for the past 10 years.