Feeding the Needy with the Help of Machine Learning

Researchers at Carnegie Mellon University have set up a data sharing partnership between the Penn Hills School District and the Allegheny County Department of Human Services. This was done in order to serve those students who used to rely on free breakfast and lunch at school. Along with all the data gathered, the researchers at the Carnegie Mellon University loaded the address information into the computer and identified the locations and the routes.

According to Stephen Smith, who developed the delivery algorithms and is currently serving as the research professor in the Robotics Institute, “The existing bus routes used to transport students weren’t ideal for meal distribution for a number of reasons. Stopping every few blocks isn’t very efficient, and we needed areas where shuttles could safely stop, park and hand out food to groups of people. Our goal was to identify stops and routes to reach as many people as possible.”