Show HN: I made a Raspberry with Qwen my local car AI

CarWatch demonstrates a viable edge computing architecture for autonomous vehicle intelligence, deploying a 35B-parameter AI model on consumer hardware (Raspberry Pi 5) with complete offline functionality, owner's manual RAG, and voice control—establishing a new precedent for privacy-preserving, subscription-free embedded AI systems. For IT organizations, this showcases the technical feasibility of moving computationally intensive workloads from cloud to edge devices while maintaining operational continuity through graceful degradation and autonomous self-management, with implications for data governance, security posture, and total cost of ownership across IoT and embedded systems portfolios. The architecture's emphasis on verifiable grounding, local-first design, and maintainability from anywhere presents a model for building trustworthy, transparent AI systems that could inform enterprise standards for AI deployment beyond automotive use cases.