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v0.3.0 — multimodal vehicle damage MVP
- Backend (FastAPI + Celery + Postgres + Redis + MinIO) with JWT auth, pre-trained model registry, 4-model dropdown API - 3 custom YOLO11 models (damage/parts/severity) trained on CarDD + CarParts-Seg + Roboflow Severity - ML pipeline: parallel detection + IoU matching + part-centric output + TR cost engine - Web (Next.js 15), Desktop (Tauri 2), Mobile (RN + Expo) - Free tier deploy: Vercel + Render + Supabase + Upstash + Cloudflare R2 - Wave 1-7 hardening: detection threshold calibration, crack low-conf flag, polling resilience, thumbnail fix, multi-foto async, SEO full setup, Lighthouse 86-92 Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>e327f0d