1st Place Hackathon (Fall 2023)

Democratized voter data insights for grassroots campaigns

R Shiny
Plotly
Python
Visualization
Machine Learning
Google Cloud
Politics

Grassroots campaigns, donation drives, and voter canvassing always start with a voter list. Obtaining these lists is often difficult, and large corporations often monopolize the voter records and sell them to other organizations. We’ve organized the Ohio voting history for 8 million voters across 20 years and combined geographical information with census data, to help political groups find potential voters.

The Challenge and Solution

The challenge was to create an interface that would allow any grassroots campaign the tools to best allocate their funds to route their outreach program in Ohio My team was able to deliver a website that gives political information inferred from the Ohio voterfile. We used a variety of tools to accomplish this, including:

Packages Used:

Quarto, Pandas, Scikit-Learn, Numpy, Plotly, R Shiny, Google Cloud… plus a few others

The Result

Below is the website (click the picture)

Image Description
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