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2025

MAIE - Medical Automation Intelligence Engine

Full voice-to-voice AI pipeline for medical automation. Built with Python, FastAPI, vLLM, Whisper, VITS for speech synthesis, NestJS backend, and Next.js frontend. The system enables healthcare providers to interact with patient data and medical systems using natural voice commands.

Technologies Used

Python
FastAPI
vLLM
Whisper
VITS
NestJS
Next.js
PostgreSQL
Docker
Client

Healthcare Startup

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The Challenge

Healthcare providers spend excessive time on documentation and data entry, reducing patient interaction time. They needed a hands-free solution that could understand medical terminology and integrate with existing EHR systems.

Our Solution

We built a comprehensive voice-to-voice AI pipeline using Whisper for speech recognition, vLLM for intelligent response generation trained on medical data, and VITS for natural speech synthesis. The system integrates seamlessly with existing healthcare workflows.

The Results

60% reduction in documentation time, 40% increase in patient-facing time, 95% speech recognition accuracy for medical terms, Seamless EHR integration

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