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

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

feat: modular architecture + security hardening

fix: restore missing get_ai_cache and set_ai_cache functions

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

Implement P0 Critical Fixes (Roadmap Weeks 1-3)

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

feat: restore production features (Web Research, B2B API, Pro logic) and clean workspace

Hardening Eatlytic: Fixed block bypass, success-only quota, optimized OCR, and improved dependency stability.

chore: purge pycache and delete legacy noodle test

Hardening v3: Implemented Header Preservation and AI Table Logic to fix Product Identification

update branch

update branch

Fix OCR service errors and improve nutrition label detection

Architectural Pivot: Integrated Supabase for production persistence and moved to Pure OCR analysis model

Fix: ImportError in main.py and missing deblur_and_enhance call in analyze flow

fix: full codebase audit - patch 7 critical bugs (OTP leak, admin token, CORS, duplicate checks, cache TTL)

deploying project files