Safety Map

Safety Map: Your City's Information Hub

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Inspiration

While attending a summer program in a new city, I was curious to know about the safety of the neighborhood. I wasn't able to find the necessary information consolidated and thus decided to build a website that consolidates all the data and makes it easy to consume.

What it does

Safety map is an application that shows you how safe a neighborhood is, based on data available from the city. Safety map utilizes the in opendataformat to plot them with proper color coding on the map, and for analytical purposes to determine how safe a neighborhood. This is done by computing a weighted score for all car accidents, crime, and construction in a specific zip code. User input (zip code) used to calculate safety index and display map based on safety indices.

How we built it

The application is developed using Python. The data set that is being used for the first version is for the greater Los Angeles area. The data is in open data format. The map on which the data is overlaid is using Leaflet.

Challenges we ran into

Some challenges I ran into occurred when attempting to parse the data because of the limitations applied on the APIs.

Accomplishments that we're proud of

I am proud of collecting different APIs and using the data to display important data that will benefit not only the citizens of LA County, but may also impact the way the city distributes resources.

What we learned

I learned how to implement different maps provided in the folium library in Python to visualize the data including the basic map with markers and the Chloropeth map.

What's next for Safety Map

In the future, I want to incorporate a mobile app for the safety map as well. Some other future goals for Safety map include: overlaying the safety data calculated above with real estate such as houses for sale and rental properties, including important information for parents about safety for children/teens by providing data based on Megan’s law for offenders as part of the safety report, indicating nearest important landmarks such as hospitals, fire stations, emergency rooms police stations, and adding visibility into safety by times of day/hour

Code in github is private and I will be happy to provide access to judges.

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