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

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

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

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

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

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

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(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: 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

Perf+Fix: Single-pass AI (1 LLM call), dynamic nutrient cards, universal label support

Fix: Product name, ingredient cards, Tata Salt, peanut butter mockup rejection - full backend hardening

Hotfix: Guard duckduckgo_search import to prevent startup crash on HuggingFace

Fix: Sync with zip version, resolve scan quota bug, Twilio crash, and double-OCR issue. Cleanup dead code.

Sync fixes from Eatlytic-Fixed.zip (LLM logic, Improved ROI, New UI Components)

Hardened production engine: Atwater safety gates, AI pipeline optimization, B2B parity, and regional OCR expansion

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

Architectural Consolidation: Unified NOVA engine and implemented dynamic cultural calorie comparisons.

Final Hardening: Fixed deskew logic, improved persona advice, and increased Atwater safety thresholds.

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

fix: implement final AI-First Vision Recovery (Triple-Check); bulletproof label detection for mockups

fix: harden vision pipeline with permissive ROI and uncropped fallback logic; fix 'No Label Found' bug

feat: implement Indian Context Engine with cultural equivalents, persona logic, and additive scanning; all 58 tests passing

feat: implement two-step LLM analysis pipeline and fix nutrient extraction; all 58 tests passing

fix: resolve 8 bugs in fake detector, retry logic, and test environment

feat: implement smart label detection, hybrid parser, and explanation engine; fix math mismatch bug

chore: purge pycache and delete legacy noodle test

fix: implement AI self-correction loop and tighten physics gate to 25%