Working alongside Schwab, fellow AWS tech lead Arun Arunachalam and program manager Tom Orr, four students collaborated to help understand and tackle this particular challenge.
Citizens in Chandler can currently submit traffic issues via multiple channels: completing a form on the Chandler PD website, calling the non-emergency phone line or talking directly to a police officer. According to Lieutenant Dan McQuillin, the existing solution for tracking incidents is rather cumbersome.
A group of student workers, including Ganesh Madduri, Matthew Brummund, Arpita Mandal and Saran Ramesh, took on various roles to revamp the web portal — from user experience and back-end processing.
Mandal and Ramesh redesigned the web portal’s user interface. They used responsive design techniques that made completing the form easier for citizens and built integrations with the police officer portal.
Meanwhile Madduri and Brummund focused on the back-end portal for the department, where reports are tracked and assigned to officers. They designed interactive dashboards that log details of the complaint, including location, timing and more.
Perhaps most impressive was the visualization components built into the dashboard. The team took a map of Chandler and overlaid the various beats – geographically defined sections of the city assigned to specific officers – with a heat map to showcase where the most traffic reports occur.
With a better visualization of where reports are occurring, they also designed an AI-driven feature that allows the department to fact find quickly, asking questions like “Can you show me the cases that are tagged as speeding?” or “Which beat has open reports?”
The officer can use the chat feature to send emails directly to officers in the field.
The AI-powered feature is built using Lex, the same feature that powers Amazon’s Alexa. “We focused on finding the right tool for the right use case,” shared Brummund.
“The complexity of the project and success of the students should be celebrated,” said Arunachalam. “Deploying in a customer environment is a huge task…a lot of hard work and meticulous planning went into it by these students.”
In an effort to support digital transformation across the valley, the team designs all solutions as open source that can be re-engineered for other user-generated inquiries.
Learn more about the AI-CIC and open-source solutions at: https://cic.asu.edu/