HEALTHCARE TECHNOLOGY & AI HARDWARE INTEGRATION

ScribeER

STATUS

1st Place - AI + Business Hackathon Winner

TEAM

Audrey Young, Ayoung Cho, Joy Wang, Beni Issler, Olivia Issler

HealthcareAIWearable HardwareVoice AI
ScribeER

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

Team member presenting ScribeER wearable device at hackathon demo with visible ESP32 hardware and wiring

HARDWARE PROTOTYPE

Whiteboard system architecture diagram showing voice input flow through transcription, LLM processing, and EMR output

SYSTEM ARCHITECTURE

Team presentation at Berkeley Haas showing all team members with their roles and affiliations

TEAM PRESENTATION

Full team photo of six members after successful AI + Business Hackathon

TEAM