TUSIIME Eriya@erixpanda1622664

Medical error is the third leading cause of death globally, and surgical complications account for a massive percentage of hospital liability. MediCast is an autonomous, computer vision-driven SaaS co-pilot engineered to fundamentally de-risk the operating room. Built exclusively for the AMD Developer Hackathon, it transforms opaque surgical video feeds into structured, actionable clinical intelligence in real-time. The Unicorn Pitch: Why MediCast Wins Proactive Risk Mitigation: A concurrent multi-agent swarm (Safety, Anatomy, and Phase Agents) autonomously monitors live surgical feeds, identifying critical safety deviations and anatomical hazards before they become fatal errors. Zero-Footprint Scalability: Hospitals refuse to install massive, expensive GPU servers in sterile environments. MediCast circumvents this entirely. By leveraging AMD Instinct™ GPUs in the cloud via the Fireworks AI API, we deliver blazing-fast inference directly to the OR with zero local hardware required. Gemma-Powered Clinical Debriefing (Bonus Track): We engineered our post-op AI Arbiter exclusively on Google’s Gemma 2 (gemma2-9b-it). It mines the structured surgical data to generate automated clinical reports and allows surgeons to interactively "chat" with their own procedures for unprecedented post-op quality assurance. Commercial Readiness: Complete with a secure, HIPAA-styled SSO gateway, real-time WebSockets, and a premium React dashboard, MediCast isn't a prototype it’s a deployable product ready for clinical pilot. By fusing AMD's massive compute throughput with the Fireworks AI API and Gemma 2, MediCast doesn't just analyze surgery it makes it safer, trackable, and instantly reviewable

AgentFlow CI is a production-ready, enterprise-grade autonomous software delivery system. It accepts a single plain-English feature request and routes it through five specialized AI agents that communicate, collaborate, loop back, and hand off structured context through Band agent rooms — delivering a fully planned, coded, reviewed, tested, and documented pull request with zero human intervention until the final approval stage. The system addresses a universal bottleneck in software engineering: the time and cognitive load between a feature idea and a PR-ready implementation. AgentFlow CI eliminates that gap by making five AI agents work together the way a real engineering team does — debating, iterating, and handing off work through a shared collaboration layer powered by Band.

🌎 Online Hackathon | 📅 August 3–10, 2026| 💻 Powered by native.builder The official native.builder hackathon, hosted by NativelyAI and lablab.ai. Join founders, developers, designers, and builders to create real AI-native applications powered by native.builder: from idea to deployed product, fully in the cloud. 💻 This hackathon is fully online. No travel required.

AI Genesis is a global hybrid hackathon that brings AI builders together from around the world — starting online and culminating live at /function1 AI Conference & Exhibition 2026 in Dubai. 📅Oct 26 – Nov 3, 2026 • Oct 26 – Nov 2: Online build & collaboration All projects must be submitted by end of day on November 2. • Nov 2 (Online + Dubai): An exclusive on-site build day in Dubai for selected participants. • Nov 3 (Dubai): Live on-stage pitching & winners announcement at the /function1 Conference. 🌟 Get support from expert mentors throughout. 👥 Go solo or team up. 📍 Please note: If approved for the on-site experience, you’ll also have the opportunity to showcase your project live. Travel and accommodation will not be covered. 🧑🏻‍💻 Secure your spot now, sign up before the Kick-Off Stream!

To participate in the hackathon, simply click Sign up with AMD. If you are not already a member of the AMD AI Developer Program (ADP), you will need to create an account. ADP members can access AI tutorials, experts, and community support. In addition, new members can claim a free month of DeepLearning.ai pro, $100 in AMD GPU cloud credits, and $50 in Fireworks AI API credits. All hackathon participants will receive on hackathon launch additional compute and API credits for their projects. Ready to build what's next on AMD? Sign up with AMD below to secure your spot.

🌉 On-site Only Hackathon | 📅 June 27–28, 2026 | 📍 San Francisco, CA This is an in-person hackathon in San Francisco for selected participants. Capacity is limited to 150 people, teams must include 3–5 members, and there is no online or hybrid participation. Build real-time AI apps that run directly on Snapdragon-powered mobile devices using ExecuTorch. Selected teams will get Samsung Galaxy S25 Ultra devices on-site for building, testing, and live demos. 📍 On-site Venue (June 27–28): The Web Data Loft by Bright Data 625 2nd St, San Francisco, CA 📱 Samsung Galaxy S25 Ultra devices provided on-site for selected teams 🧠 Learn from Qualcomm and Meta experts through workshops, mentorship, and hands-on support 🏆 Prizes include Meta Quest 3 headsets, Ray-Ban Meta AI Glasses, and post-event project support 🧑‍💻 Apply now to build the future of on-device AI with ExecuTorch and Snapdragon. Once pre-approved, you will receive further instructions on how to complete the acceptance process. Application deadline: June 17, 2026, at 11:59 PM PDT.

📅 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.