Inspiration - We know acquisition costs are a major barrier in the industry. Our teammates also have personally worked in community's with strong opposition to solar, creating issues and tremendous risk for the company.
What it does - Built a Machine Learning model using local data and solar deployment data to predict which communities are open to solar
How we built it - Using data from the US Census, NOAA, Zillow and OpenPV, we built a Machine Learning Algorithm in python and a web app to interface with the user.
Challenges we ran into - Lack of datasets, time spent building data,
Accomplishments that we're proud of - building a user-facing product and a good structure to build on with better data.