Ravi Arikapudi@techstriker10

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.