HEALTHCARE TECHNOLOGY & AI HARDWARE INTEGRATION
ScribeER
STATUS
1st Place - AI + Business Hackathon Winner
TEAM
Audrey Young, Ayoung Cho, Joy Wang, Beni Issler, Olivia Issler

SYSTEM OVERVIEW
ScribeER is a lightweight voice-AI wearable designed to streamline emergency room documentation and improve clinical decision-making speed and accuracy. Built in just 30 hours for the AI + Business Hackathon, ScribeER demonstrates how tightly coupled hardware and AI systems can reduce cognitive load for clinicians while improving documentation quality and efficiency.
MY CONTRIBUTIONS
- 01
Designed hardware integration and system architecture for real-time AI voice interaction
- 02
Engineered low-latency voice pipelines enabling hands-free clinical workflows in high-pressure environments
- 03
Implemented real-time AI interaction flow between wearable and cloud services using Cursor and Gemini technologies
- 04
Architected ESP32 microcontroller integration with off-the-shelf hardware components
- 05
Developed system to support fast, reliable voice capture and response for emergency room workflows
- 06
Contributed to end-to-end system design from patient voice input through documentation output
RESULTS
1st Place Award for technical execution, usability, and healthcare impact
Functional wearable prototype enabling hands-free clinical documentation
Demonstrated real-time voice-to-text-to-EMR workflow in live hospital environment
Validated AI-hardware coupling for clinical decision support
PROJECT GALLERY

HARDWARE PROTOTYPE

SYSTEM ARCHITECTURE

TEAM PRESENTATION

TEAM