Weihao Zhou, Kaiwen Yang, Xu Han, Laura McCallion

This project attempts to predict criminal activity by analyzing trends in LA Crime Data from Los Angeles Open Data.

The data source updates weekly. The project also visualizes the data and functions as an interactive exploratory tool.

Our website can be found here.

This project uses MongoDB as the database. All data acquired are stored in raw form to the database (with de-duplication). An abstract layer is built in database.py. A plot.ly & dash app is serving this web page. Actions on responsive components on the page are redirected to app.py which will then update certain components on the page.