Inspiration
Hurricane Helene did terrible damage and we want to provide a service to allow for sustainable housing in distressed areas and beyond
What it does
Takes in empiracal data from Lightbox and United States Department of Education and Department of Transportation to give two scores of housing sustainability.
How we built it
We used entropy weight method and analytical hierarchy method to value parameters like environmental risk, access to schools, grocery stores, pollution etc.
Challenges we ran into
We had large streams of data, using wolfram required us to learn Mathematica for risk modeling which is not very compatible with other languages and APIs
Accomplishments that we're proud of
We are proud of the mission of the project and the speed at which our. product runs
What we learned
We learned more about APIs, data scraping, location data and risk modeling
What's next for SustainX
We want to grow, perfect the UI and expand to features like estimated cost of living based on environmental risks, access to public transport etc.
Built With
- javascript
- mathametica
- python
Log in or sign up for Devpost to join the conversation.