Real-time clinical AI & RAG
CliniQ+
Turning doctor-patient conversations into structured clinical documentation, with speech recognition and retrieval-augmented generation.
Inside the project
Streams audio through Deepgram WebSockets, retrieves context with BGE embeddings and Qdrant, and uses Llama 3 via Groq to extract structured EMR fields.
My focus: the speech-to-EMR workflow and RAG pipeline. Built with React, TypeScript, and MongoDB.
