For the final project in AI Experimentation with Professor Daniel Rice, I led a four-person team in designing an AI-powered concept called Route Report—a voice-enabled mobile platform that helps cyclists report infrastructure issues in real time. Inspired by my own experience commuting on an e-bike in Boston, I proposed the initial idea: a lightweight reporting tool that crowdsources safety data and helps city planners make data-informed improvements to cycling infrastructure. The app uses natural language processing (NLP) and GPS metadata to generate structured reports from voice input, streamlining the reporting experience while on the move.
AI Experimentation | Route Report – Smarter Cities, Safer Rides
Babson College | Fall 2024
We used Agile product development principles, applying tools like Jira for sprint planning and FigJam to collaboratively map out user journeys, interface sketches, and process flows. We also used generative AI tools to support ideation and early-stage prototyping. I served as the team coordinator, ensuring our development process remained focused and iterative—setting agendas, managing deliverables, and maintaining momentum across sprints.
Our final deliverable included a wireframe prototype, platform model canvas, and investor-style pitch presentation. Route Report was positioned as a scalable solution for urban safety and infrastructure innovation—integrating with platforms like Google Maps and offering valuable analytics to municipalities. This project sharpened my skills in product strategy, AI-enabled UX design, and agile collaboration—all grounded in a mission to make cities safer and smarter for everyday riders.
Final Slide Deck & Report