Property Investment Locator

Inspiration

Real estate investing strategies of picking undervalued properties in areas that are forecasted to increase in mortgage value

What it does

This program takes public data provided by Zillow such as price forecasting, and sale-to-list price ratio of different properties of the cities of the state Virginia, and presents them on a geographic map.

How we built it

Used various Python libraries and datasets from Zillow

Challenges we ran into

API authorization

Accomplishments that we're proud of

Visualizing the property locations on a Virginia map

What we learned

Use of APIs, parsing csv files, python plotting libraries

What's next for Property Investment Locator

-Use the Willow API to get Zestimate price and compare it to list price -Improve presentation of data by including a function that allows the user to be able to hover over a point and see exactly which city it is -Include a legend defining the range of colors and their meanings -Include a representation of zipcode property price forecasting by Zillow by drawing out the borders of every zipcode area, and color-coding them accordingly to a different color set.

Built With

• python