🏆 Senior Design Winner 2025

EMT Vision

Revolutionizing Emergency Medical Response with AR Technology

Award-winning AR headset that automatically transcribes calls and populates ePCR forms, saving critical time in emergency situations.

89%
Multi-speaker Accuracy
94%
Noisy Environment
98%
Error Correction
Patient Care Challenge

The Problem

In emergency medical services, every second counts. Yet, current systems require a dedicated paramedic for form documentation during each call, significantly impacting response efficiency.

  • Every call requires a dedicated paramedic for documentation
  • Manual paperwork extends response times
  • Human error in critical patient information
  • Valuable resources wasted on administrative tasks
EMT Vision Solution

Our Solution

EMT Vision introduces a lightweight, AI-powered Microsoft HoloLens 2 headset that revolutionizes the documentation process through advanced audio processing and multimodal LLMs.

  • AI-powered AR headset for hands-free documentation
  • Automatic ePCR form population
  • Real-time protocol visualization
  • Instant hospital data sharing

Our Team

Developed in partnership with Santa Clara County Fire Department and funded by the School of Engineering at Santa Clara University. Our team of four engineers worked directly with first responders to understand real-world challenges.

Logan Calder
Lead Developer
Grant Johnson
UI Engineer
John Alvarado
UI Engineer
Jack Landers
Audio Engineer
AR Headset Application

AR Headset Application

Built with Unity and C#, the HoloLens 2 application integrates Microsoft Azure Speech Services for real-time transcription and OpenAI GPT-4 for intelligent form population.

Core Technologies

Unity AR Development
C# Programming Language
Azure Speech Audio Transcription
OpenAI GPT-4 Form Population
Web Platform

Web Platform

Developed with Next.js and TypeScript, the web platform provides a secure interface for medical professionals to access patient information with HIPAA-compliant data storage.

Web Technologies

Next.js React Framework
TypeScript Type Safety
Supabase HIPAA Database
GCP OAuth Authentication

Testing Results

Our comprehensive testing across various real-world scenarios demonstrates the system's reliability and accuracy in emergency medical environments.

89% Multi-Speaker Accuracy
94% Noisy Environment
98% Error Correction
Senior Design Award

1st Place Winner

EMT Vision won 1st place at the Senior Design Conference at Santa Clara University in the category of Medical Technologies, recognizing our innovative approach to emergency medical documentation.

  • 1st place in Medical Technologies category
  • Santa Clara University Senior Design Conference 2025
  • Recognition for innovative AR technology application
  • Validation from industry professionals and faculty