Chris Pietsch@chrispie

XIAO Field Copilot is a focused multimodal support assistant for Seeed Studio XIAO edge hardware. Instead of building a full wiki-scale RAG system, the project narrows the problem to a practical field workflow: upload a photo of a XIAO board, ask a hardware question, and receive an answer grounded in curated documentation. The copilot supports board identification, troubleshooting, pin and wiring lookup, board comparison, and setup guidance. It uses a XIAO-only corpus covering common boards such as XIAO ESP32S3, ESP32C3, ESP32C6, RP2040, nRF52840, and SAMD21. Each answer includes source-backed citations so users can verify the guidance against official Seeed documentation. The system is intentionally lightweight for a hackathon demo. A Gradio app on Hugging Face Spaces connects to hosted vLLM endpoints: a Qwen3-VL embedding model for multimodal image/text retrieval, an optional multimodal reranker for grounding, and a small Qwen-style agent model for concise support responses. A simple agent router decides whether the user is trying to identify a board, troubleshoot a symptom, compare devices, or find wiring/setup instructions. The AMD angle is that the model endpoints are designed to run on AMD Developer Cloud with ROCm, using AMD Instinct hardware to keep the multimodal retrieval and generation stack available as hosted services. The final product demonstrates how AMD GPUs can power practical edge-device support workflows without requiring the end user to run models locally.

Grab your ideas, spin up compute, and start building what’s next! Start with $100 in AMD Developer Cloud credits and begin building right away. Get access to hands-on tutorials, workshops, and curated learning resources to help you build faster and go further. To unlock credits and join the hackathon, sign up for the AMD AI Developer Program. 💰 $10,000+ total prize pool Developers, builders, and innovators - bring your boldest ideas and let’s turn them into real AI systems on AMD.

📅 May 11–19, 2026 • May 11 – 19: Online Build Phase. • May 18 (Hybrid Build Day – Online & Onsite) • May 19 (Demos & Awards – Online & Onsite) 🌍 Hybrid event. Join online from anywhere or build onsite at the venue. 🏆 Winners will be announced live on stage at the AI & Big Data Expo North America on May 19 📍 On-site Venue (May 18–19): San Jose McEnery Convention Center, CA, USA 🤝 Join solo or with a team. 🎟 FREE AI & Big Data Expo North America ticket included for participants that are able to join the on-site phase. 🏆Compete for a $10,000 prize pool 🧑‍💻 Apply now to design, prototype, and showcase enterprise-ready innovation.

Grab your ideas, spin up compute, and start building what’s next! Start with $100 in AMD Developer Cloud credits and begin building right away. Get access to hands-on tutorials, workshops, and curated learning resources to help you build faster and go further. To unlock credits and join the hackathon, sign up for the AMD AI Developer Program. 🤝 Go solo or team up — ship something real. 💰 $21,500+ total prize pool & 1 × AMD Radeon™ AI PRO R9700 GPU up for grabs. 📍 On-site Venue (May 9-10): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 📍On-site participation is by invitation only. Travel and accommodation expenses will not be covered. 🧑‍💻 Developers, builders, and innovators - bring your boldest ideas and let’s turn them into real AI systems on AMD.

⌚ 60-hour Hackathon to build AI apps with cutting-edge 3D generative models by OpenAI, Nvidia and Stable Diffusion 💡 Experiment with Point-e, Sharp-e, GET3D, Stable Diffusion's Dreamfusion 🚀 Build a fully functional AI app under the hackathon's tight timeline! 👥 Find teammates and get mentor support throughout the event