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Privacy & Compliance

GDPR, HIPAA, EU AI Act, and biometric data compliance for applications that collect, process, or predict body measurements — with a focus on stateless architecture as the compliance default.

14 articles  ·  ← All categories

databaseschema

How to Store Body Measurements: Database Schema Design

Database schema design for body measurement applications — what to persist, what to compute on demand, privacy-by-design patterns, and temporal versioning.

apitutorial

How to Add Body Measurements to Your App Without Photos or Privacy Risk

Photo-based sizing creates GDPR exposure and user friction. How statistical body measurement prediction works as a privacy-first alternative, with Python code.

gdprprivacy

GDPR Right to Erasure for Body Measurement Data: Implementation Guide

GDPR Article 17 Right to Erasure for body measurement apps — what must be deleted, cascading deletes, and how stateless API architecture simplifies compliance.

healthhipaa

How to Build a HIPAA-Compliant Patient Body Assessment Feature

Add body dimension predictions to a healthcare application without HIPAA liability — stateless API architecture, no PHI transmission, and no BAA required.

complianceeu-ai-act

EU AI Act 2026: What Body Measurement APIs and Their Integrators Need to Know

EU AI Act from August 2026 — how it applies to body measurement APIs, risk classification, documentation obligations, and what developers must do.

gdprprivacy

The Hidden GDPR Risk in Your Fashion App's Sizing Feature

Photos are biometric data under GDPR Article 9 — requiring explicit legal basis and DPAs. What this means for fashion sizing apps and the stateless alternative.

healthtechhipaa

How to Build a HIPAA-Ready Fitness Onboarding Flow Without Storing a Photo

HIPAA-ready body measurement collection for fitness apps — stateless API design, onboarding patterns, and what 'HIPAA-ready by architecture' means in practice.

biasfairness

Bias Auditing in Body Measurement APIs: What to Test and Why It Matters

How to audit anthropometric prediction APIs for demographic bias — which population groups are most at risk, how to test, and how to fix it.

comparisonsizing

Photo-Based vs. Statistical Body Measurement: Which Approach Is Right for Your App?

Photo-based body measurement vs. statistical prediction from height and weight — accuracy, privacy, user friction, and which use cases each approach handles.

securityoauth

OAuth 2.0 and JWT for Health Measurement APIs: Security Patterns

OAuth 2.0 and JWT patterns for body measurement APIs — grant type selection, claim design, API key management, and least-privilege access to health data.

architectureprivacy

Stateless vs. Stateful Biometric Architecture: The Decision That Defines Your Stack

Stateless vs. stateful biometric architecture — compliance, security, and product implications that compound over time, and how to decide before you build.

securityprivacy

Least Privilege in Biometric Systems: Designing for Minimal Exposure

Least privilege design for body measurement systems — access control, data minimization, anonymization patterns, and why stateless APIs embody this principle.

historyanthropometry

The Bertillon System: How 19th-Century France Invented Biometric Identification

In 1879, Alphonse Bertillon invented the first systematic body measurement system for criminal identification — the origins of anthropometry in criminology.

pediatricsgdpr

How to Build a Children's Sizing Feature Without Storing Children's Data

Children's size calculator using the pediatric API — age, height, weight to clothing size — with stateless architecture for GDPR and COPPA compliance.