Originally built during a hackathon, this concept evolved into a production-ready AI voice assistant for automotive technicians. It enabled hands-free control of repair orders through natural commands like “Clock in for RO 3471,” cutting manual input errors by 50% and saving time in high-noise, high-pressure service environments.

Designed the interaction model, feedback states, and confirmation flow to ensure reliability and trust in a real-world setting, turning a rapid prototype into a daily-use tool across technician workflows.

(Yes, that’s me playing the technician 👨🏻‍🔧 in the demo video - sound on 🔊)
Figma link available on request 🔗