AI-Driven Triage Automation: Voice-to-Text with Groq for Emergency Care

This session will dive into how Groq’s AI models can be applied to automate triage documentation in emergency care. Using a real-world implementation, we’ll demonstrate how paramedic or doctor statements can be transcribed using the Whisper-large-v3 model, and automatically converted into structured JSON data for patient records. The code leverages Groq’s transcription capabilities and LLaMA3-70B for generating structured data that populates triage forms, saving critical time in emergencies. The presentation includes a detailed walkthrough of the code, covering everything from uploading the audio file to generating the structured output, along with a live demo.