docs: Update README.md to reflect new clean onion architecture and CGM biosensor sync pipelines

refactor: Reorganize codebase to elite enterprise AI standards and clean legacy duplicate stubs

feat: implement local rule-based clinical brain engine and B2B dietitian cohort portal

ui: restore shared stylesheet tokens and integrate trust footer links

refact: modular architecture split, secure device authentication, and automated CI/CD pipeline

docs: add complete strategic blueprint — architecture, security, growth, 90-day roadmap

docs: add .env.example template for secure setup

feat: modular architecture + security hardening

docs: exhaustive repository architecture map and Grand Tour update

feat: Universal Hybrid Overhaul, Never Reject Blur Repair, and README sync

fix: 8-patch pipeline hardening (ROI, OCR, Physics, Cache, Beverages)

docs: 100% exhaustive file tree documentation matching workspace

docs: industrial-grade technical documentation overhaul

docs: finalize README with exact project file tree

Update README.md

docs: update README with full system flow and file structure

chore: add cache scrubbing and maintenance scripts

fix: implement Dual-Pass OCR engine and relax confidence floor to 18%

fix: implement suspect cache bypass for 0-nutrient results

fix: implement V4 categorization guardrails and brand-awareness heuristics

fix: implement Deep-Scan V3 with Otsu thresholding and search-driven fallback

fix: implement ultra-reliable OCR with CLAHE and success-based confidence overrides

fix: bypass and prevent caching of failed or unreliable analysis results

fix: implement AI auto-upscaling for small images and relax confidence thresholds

fix: commit missing imports and search engine stability fixes

fix: restore missing get_ai_cache and set_ai_cache functions

fix: reduce workers to 1 for Hugging Face Space stability

feat: Production Hardening, Product Duel, and AI History Portal Implementation

Remove roadmap from repository and add to .gitignore

Implement P0 Critical Fixes (Roadmap Weeks 1-3)

feat: harden security with HMAC signature verification, robust OTP lockout, and user scan tracking

Revert "chore: remove non-important development scripts and test files for clean main push"

chore: remove non-important development scripts and test files for clean main push

fix: restore strict physics DNA (25% margin) and smart self-correction loop

fix(llm): lower max_tokens for 8b-instant to fit within 6k TPM free tier limit

fix(ocr): patch PIL.Image.ANTIALIAS for compatibility with older dependency libraries

fix(physics): add robust float casting to prevent Atwater engine crashes when AI returns string macros

fix(llm): resolve fallback loop to correctly switch to backup model on 429 rate limit

fix: relax ROI thresholds to correctly capture boundary cases

fix(ui): restore advanced UI index.html, reverting zip overwrite

fix: integrate 11 critical bug fixes from reference archive

fix(ai): resolve Groq rate limits and payload size issues

fix: undo aggressive fraud detection and improve scan robustness

fix: restore results output by resolving base64 decoding error and backend crash

feat: harden scan flow with auto-clear and zero-washing detection

fix: restore scoring rubric, language instruction, and nutrient name CAPS in super-prompt

fix: suppress noisy PyTorch pin_memory warning on CPU machines

feat: implement Specialist Card Generation engine

fix: restore nutrient cards and support zero-values for sparse labels

fix: global label scanning, nutrient accuracy, and pipeline hardening