masa-byte/Multimodal-RAG-Skin-Diseases

The project is a bachelor's thesis implementation of a standard Multimodal RAG pattern applied to a medical niche. With only 7 stars and zero recent velocity (650 days old), it lacks the community traction, proprietary data, or architectural novelty required for a moat. The defensibility is low (2) because it essentially wraps commodity components (Gemini, ALIGN, Qdrant) around a public or academic dataset. From a competitive standpoint, frontier labs like Google are already deploying specialized medical tools like 'DermAssist' which directly target this use case with significantly higher regulatory compliance and superior model tuning. The 'displacement horizon' is very short (6 months) because state-of-the-art multimodal models like GPT-4o and Gemini 1.5 Pro can now perform zero-shot or few-shot dermatological analysis that likely exceeds the performance of this specific RAG setup without the overhead of a custom vector database.