Inspiration
Since the pandemic, hate crimes against Asian Americans have increased. This is unacceptable and needs to be assessed in technology, politics, and law enforcement to make an impact.
What it does
Instead of simply routing the most time-efficient path, our calculation also chooses the directions by avoiding heavier crime areas with an emphasis on preventing travel in regions with higher hate crimes. Our hope is this will reduce the user's likelihood of being attacked.
How we built it
We used police reports and crime maps to find high-density crime areas in NYC and placed them in the OpenRouteServices polygon, the stream level, to track the route. We used Twilio to text directions to the phone.
Challenges we ran into
We couldn't get the Auth0 to work.
Accomplishments that we're proud of
The intuitive design.
What we learned
How to use streamline.
What's next for Safe Path
Expand the service outside NYC and to other hate crime-heavy areas.
Built With
- openrouteservice
- openstreetmap
- pandas
- porfolim
- python
- streamlit
- twilio
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