SafeWay

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  Live Data with Circle Showing User Location Area

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  Intensity Map of Past Crime

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Inspiration

Due to an increase in the number of homeless people, street crime is on the rise. We hear about street crime on a daily basis. Women confront difficulties while going out late at night. To combat this, we want to develop a web application that allows users to save and browse safe and risky areas based on their own personal experiences. The app will have a map-like user interface that will highlight the severity of crimes as you go across the area. To help the homeless even more, we have a contribution option that allows any user to contribute any clothes or food to them as long as they know their location through the application.

What it does

The app has a map-like user interface that will highlight the severity of crimes as you go across the area. To help the homeless even more, we have a contribution option that allows any user to contribute any clothes or food to them as long as they know their location through the web application.

The features of application are:

1. Easily able to find secure areas by looking at past crime rate from map
2. Able to donate food/clothes,etc. to homeless person.
3. Detect user location and tell if area is safe using live crime data.
4. User can himself add unsafe incidents which get added to map and database.

How we built it

We used Python for the system and Flask Library for creating Web App along with HTML/CSS for frontend.

• The Maps were built using Folium Library and location was accessed using Geocoder Library to get coordinates from text location address.
• The data was taken from past NYPD dataset from Kaggle
• Twitter API was used to collect live crime data of last 24 hours
• Using Sentiment analysis the data was filtered to get actual crime data.

Challenges we ran into

1. Integrating Folium with HTML was tricky
2. Sending data between flask and frontend was difficult due to first time use
3. Finding correct data was also a difficult process as there were multiple sources and cleaning was required

Accomplishments that we're proud of

1. Able to support women for their safety and reduce crimes.
2. Building a working prototype which can help thousands of people on daily basis

What we learned

1. Folium Library and Geocoordinates
2. Team work

What's next for SafeWay

1. Creating Mobile App for easy usage
2. Communicating with NGOs to make donations more useful and reaching out directly to homeless people
3. Enhancing the UI of web app

Conclusion

With our online application, we hope to reduce or notify users to take precautions. While travelling at night, women should keep their stuff secure.

Built With

• flask
• python
• twitter