Aphasia Bridge Hackathon Winner
Built a real time voice transcription backend in Python and Flask with REST APIs, processing live audio input through a structured pipeline and using GPT-4o to reconstruct coherent sentences from fragmented speech with low latency. Structured the application using OOP principles with clear separation between transcription, NLP, and response generation modules, writing clean well documented code that enabled isolated testing and easy extension of each component. Won first place at a hackathon delivering a production ready AI application, leveraging AI coding tools throughout development to accelerate implementation while maintaining high code quality.
