MedScribe AI
Clinical Audio Transcription & Medical Translation MVP
HIPAA-conscious on-device medical consultation assistant with multilingual translation across 15+ languages and zero-jank background vector PDF SOAP note generation.
Executive Product Overview & Scope
MedScribe AI is an enterprise clinical consultation assistant developed as an MVP to empower healthcare professionals. It records doctor-patient dialogues, translates conversations in real-time across 15+ languages using on-device ML models, and instantly compiles clinical SOAP (Subjective, Objective, Assessment, Plan) notes into formatted vector PDF reports with digital signatures. As the Flutter Developer, I architected the client-side audio pipeline and isolate-based PDF compilation.
Core Engineering Contributions & Technical Execution
Key Technical Features & Highlights
The Engineering Challenge
Running live audio recording, on-device neural language translation, and multi-page vector PDF typesetting simultaneously on budget Android tablets was causing the microphone stream to drop audio frames and freezing the waveform UI.
The Architectural Solution
Separated the app into three distinct execution threads: the main thread for smooth 60fps audio waveform animation, a background Dart compute isolate for PDF vector layout generation, and a dedicated background worker for ML Kit model execution.
Tangible Results & Measurable Impact
Eliminated 100% of UI frame drops during PDF generation and audio recording. Reduced clinical documentation turnaround time by 45% during pilot testing.