Snow Snow@snowo

Ghost of Curie is a production-ready, autonomous logistics and compliance platform designed for the complex, time-sensitive coordination of radioligand diagnostics and therapeutics (such as Lutetium-177 and Fluorine-18). Because nuclear medicines have a high rate of radioactive decay, delays during transport can render patient doses unviable, leading to severe treatment disruption and waste. The platform addresses this challenge through three main pillars: - Dynamic Decay Physics Engine: Performs real-time radioactive decay calculations based on the half-life of isotopes. The system calculates the projected millicuries (mCi) at the time of delivery against specified clinical safety thresholds. - Multi-Agent Collaboration Loop: Integrates with Band.ai WebSockets to orchestrate a collaborative chat room where AI specialist agents; including Physicists, Pharmacists, and Logistics Coordinators—discuss delay alerts, verify target facilities, and propose rerouting. - Enterprise Compliance & Auditing: Automatically verifies medical facilities against NRC database registries. The system records all transitions, physics calculations, and agent discussions into immutable JSONL audit logs and session summaries, providing a transparent chain of custody. - Built as a modern web application, it combines a fast FastAPI backend utilizing Pydantic for schema validations and local database serialization with a premium React/Vite/TypeScript frontend dashboard featuring responsive glassmorphic cards and interactive simulation controls.

📅 June 12–19, 2026 • June 12: Kick-off Stream • June 12–19: Online Build Phase • June 19: Project Submissions Ends 🌍 Fully online hackathon. Join and build from anywhere in the world. 🤝 Build practical enterprise workflows where AI agents communicate, coordinate, exchange context, and complete work together. 🧠 Powered by Band and Codeband, built for collaborative AI systems and agent orchestration. 🏆 Prize Pool: $10,000+ 🧑‍💻 Apply now to build the next generation of enterprise multi-agent systems.