doctor-ai

AI-powered multi-agent medical assistant with a deterministic safety layer — crisis detection, refused-topic hard-stops, dosage grounding, and post-generation diagnosis verification running before and after every LLM call, backed by parallel RAG, Wikipedia, and Tavily retrieval with symptom and drug-question routing.

Diagnose, repair, and manage local AI agent runtimes with automated probes, configuration fixes, and audit reports.

Diagnose and debug Retrieval Augmented Generation pipelines by analyzing traces to identify and fix issues affecting answer quality and relevance.

Provide answers from personal documents using RAG with FAISS, Wikipedia integration, and LLM fallback in a simple Streamlit interface.