Harris Warren@harriswarren

MindForge AI is a mental-health intelligence layer built from the Healus continuous-care vision. The project turns device signals, medication-adherence events, caregiver observations, and patient check-ins into structured, auditable care-loop reviews between appointments. For this hackathon, we built a working demo that analyzes synthetic mental-health scenarios and produces a structured review with risk level, risk score, medication/adherence concerns, sleep and mood flags, escalation recommendation, patient-safe response, care-team summary, missing information, and an audit-style JSON output. Technically, we used Qwen2.5-Instruct and performed LoRA supervised fine-tuning on AMD GPU infrastructure using ROCm, Hugging Face tooling, PEFT, and TRL SFTTrainer. We trained on synthetic structured chat JSONL data designed to teach the model the MindForge output contract, not generic free-form advice. We also compared Base Qwen against Base+LoRA on held-out synthetic eval cases. The LoRA adapter improved practical MindForge core-schema adherence from 25% to 62.5%, a 2.5x improvement in producing the structured care-loop output our application needs. The demo includes a schema validation and normalization layer so outputs can be made reliable, auditable, and easier to route into caregiver and clinician workflows. MindForge AI does not diagnose, prescribe, treat, or replace licensed care. The demo uses synthetic patient scenarios only and is designed as a human-reviewed intelligence workflow for continuous mental-health support between visits.

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!