Crime Visualization and Forecasting Application

Hugo Truman


Supervised by Federico Liberatore; Moderated by Hiroyuki Kido

A web application that makes use of crime prediction algorithms to inform users where local crimes are predicted to happen. It will tell the user where they should stay away from as crimes are more likely to happen and where is safer. The application will also allow the user to see the likelihood of a rise and fall of crime in an area, which could be useful for a family looking to buy a new house in a safe area. Users will be able to view hotspots of crime and potentially see what times of day are more dangerous, dependant on what data is available.

Initial Plan (08/02/2021) [Zip Archive]

Final Report (21/05/2021) [Zip Archive]

Publication Form