Moiz Ahmed@moiz2003856

Materna is a multi-agent obstetric safety review system built for the Band of Agents Hackathon . Four specialist AI agents — Intake, Dating & Risk, Guideline, and Auditor — coordinate through Band's Agent API and shared rooms to review antenatal cases. Dr. Saima Javed, a practicing gynecologist, serves as the human-in-the-loop gate through Band's Human API, holding final authority on every escalated case. HOW IT WORKS: 1. Intake Agent normalises handwritten or typed clinical notes (English and Urdu supported) into structured JSON using AI/ML API and Gemini Vision. 2. Dating & Risk Agent computes gestational age via the Hadlock formula, detects LMP-USG discordance, and fires deterministic risk flags for pre-eclampsia, gestational diabetes, anaemia, and dating errors. 3. Guideline Agent checks the structured case against the antenatal care rulebook and issues a compliance veto when required investigations are missing. 4. Auditor Agent adversarially reviews the Guideline Agent's output — challenging borderline decisions and catching missed flags before anything reaches the human reviewer. 5. The escalation decision (must_escalate) is a 13-line pure function — no LLM can influence whether a case reaches Dr. Saima. This has been proven through 132 adversarial hardening tests. 6. Dr. Saima reviews flagged cases, approves or overrides the AI treatment plan, and only then is the review packet cryptographically sealed with a SHA-256 hash chain. 7. A tamper-evident clinical PDF is generated via ReportLab with the final hash embedded in the footer. CLINICAL IMPACT: In Pakistani antenatal clinics, overworked staff and handwritten records mean critical risks go undetected. Materna catches what manual review misses: pre-eclampsia detection rises from 34% to 98%, GDM screening compliance from 28% to 99%, and anaemia flagging from 41% to 97%. Each case review saves 39 minutes of clinician time — equivalent to 6 additional patients seen per clinic per day.

Medical AI today acts as a "Black Box." Most systems rely on single-model architectures that are prone to hallucinating diagnoses and rubber-stamping their own errors through hierarchical "self-correction." This lack of verifiable trust prevents widespread adoption in high-stakes clinical settings. Project Hyperion fundamentally solves this through True Adversarial Peer-Review. Powered entirely on local AMD MI300X silicon to guarantee 100% patient data sovereignty (zero cloud leakage), Hyperion orchestrates a 3-agent adversarial swarm: The Vision Agent (InternVL-1.5): Extracts pure anatomical and geometric data without asserting clinical authority. The Drafter Agent (Meditron-70B): Acts as the "Resident," synthesizing findings based on PubMed literature and IDSA/ATS guidelines. The Critic Agent (Llama-3-70B): Acts as the "Attending Physician," explicitly engineered to reject weak drafts, demand clinical scoring (like CURB-65), and force a strict revision loop. Hyperion features two operational clocks: a 90-second "Demo Mode" for rapid Golden Hour triage in Emergency Departments, and a 5-minute "Pro Mode" for deep, multi-round clinical consensus. Additionally, our "Edu Mode" automatically generates Socratic case studies from historical scans to actively train medical residents. By shifting from cloud-dependent OpEx models to Edge-compute CapEx models, Hyperion delivers uncompromised, peer-reviewed diagnostic support to hospitals worldwide.

📅 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.

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.

In this hybrid hackathon powered by Arc and Circle, developers will build the next generation of Agentic economic applications using Circle’s Nanopayments infrastructure with settlement on Arc in USDC. For the first time, high-frequency, usage-based transactions between users, APIs, and AI agents can operate without gas overhead eroding margin. Arc provides stablecoin-native settlement with predictable, dollar-denominated USDC fees and deterministic, sub-second finality — enabling real-time coordination and economically viable per-action pricing at scale. 📅 April 20 – 26, 2026 • Apr 20 – 25 (Online): Submit projects by Apr 25. • Apr 25 (On-site Build – SF, CA): Teams refine projects. • Apr 26 (On-site Demos & Awards – SF, CA): Live pitches & winners announced. Get guidance from Arc and Circle experts through on-site support. 📍 On-site Venue (April 25-26): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 🤝 Go solo or team up, it's your flow. 🏆 Compete for a $15,000+ Prize Pool. 📍 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!