Scrubs is an iPhone app built at LA Hacks 2026 that automatically detects and redacts protected health information from healthcare photos before they are shared. Built by a team of UCLA students, Scrubs won the ZETIC Company Challenge by solving a real compliance problem that healthcare workers face every day.
What it solves
Healthcare workers share photos constantly, wounds for remote consultation, charts for care coordination, medication lists for dose confirmation. Most of those photos contain patient identifiers that should never leave the device unredacted. Names on wristbands, MRNs on charts, faces in the frame. Redacting manually is slow, easy to skip, and existing tools are locked behind desktop software or expensive enterprise licenses. Scrubs makes it a one-tap action.
What it does
Cropt is an offline, audio-first crop disease prevention application designed specifically for low-connectivity environments. Using an "audio-as-interface" philosophy, farmers simply point their camera at a suspicious plant. Our on-device AI instantly analyzes the image to provide a diagnosis and specific treatment steps via voice. To foster community resilience, a single tap allows farmers to broadcast alerts to nearby neighbors or send automated WhatsApp messages to community groups. When internet access is available, the app utilizes a sophisticated conversational agent capable of switching between 70+ languages, while every scan contributes to a real-time global dashboard that provides agricultural organizations with unprecedented grassroots outbreak data.
How it works
Scrubs uses ZETIC Melange to run face detection and PHI classification entirely on-device. On-device OCR reads text from the photo, a PHI classifier identifies sensitive regions including names, MRNs and dates of birth, and face detection flags identifiable people. All sensitive elements are masked automatically. No patient data is uploaded, stored, or sent to any third party. Everything runs on the iPhone the clinician is already holding.