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Project Title: Quantum Prism: Autonomous Hardware Diagnostics AI
Description:
Designed an autonomous multi-agent AI system that diagnoses complex laptop motherboard faults. The architecture uses Claude Code as the terminal orchestrator, managing sub-agents in self-hosted n8n via the Model Context Protocol (MCP).
Instead of generic AI wrappers, this system relies on a Python FastAPI microservice for computer vision (analyzing boardviews/schematics) and a Qdrant Vector DB for RAG-based hardware theory. It enforces a strict, zero-hallucination diagnostic cycle based on exact physical values (Volts/Ohms/Pins) to navigate from a raw symptom to a precise component verdict.
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