We saw Esri's GIS platform and realized that it is a very useful visualization tool for a variety of applications.

What it does

Utilizing modern machine learning (GANs) and GIS, we can outperform existing site selection models for solar energy farms.

Additionally we can same methods to detect and analyze certain areas of the country that are posed with a larger risk of getting defrauded by investment advisors.

How we built it

For the data analysis portion where we scraped, extracted, cleaned, and analyzed from various sources we made extensive use of the python pandas framework. We acquired data from FINRA, arcGIS, US Census, OpenPV.

We implemented and trained our machine learning models in tensorflow and used matplotlib for analysis.

Challenges we ran into

Accomplishments that we're proud of

Both projects are working

What we learned

We can use the vast library of GIS data to predict the

What's next for Site Selection & Financial Analysis using GANs & GIS Data

Publishing a paper and writing a research report.

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