R&D collaboration with the University of Southern Denmark's Human Centric AI Division. A multimodal AI assistant for respiratory screening: CLAP audio embeddings combined with patient metadata, retrieved through a RAG layer on Llama 3.2 and grounded in WHO guidance. Delivered as a Flutter app on a FastAPI backend, validated against clinical benchmarks and covered by a Pytest integration suite across the full Agile lifecycle.