feature transform centroid
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.