SAFEphilLY

September 2016


We apply machine learning on crime statistics in Philadelphia to determine the safest walking path from point A to B. We used a Support Vector Machine to perform the classification and developed a front-end supported by Google Polymer. We developed this tool in less than 36 hours at the University of Pennsylvania.

Tasks Performed:
  1. Machine learning and working with large data sets
  2. Working with web-based APIs