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Healthcare & MedSpa

DermGuard Pro

Medical-Grade Skincare Ingredient Analyzer

PythonFlaskREST APIPostgreSQLDockerJavaScript (Widgets)CSS
DermGuard Pro

1Challenge

Medical aesthetics professionals need reliable, evidence-based information about skincare ingredients to make safe recommendations for their clients. Existing resources are scattered, inconsistent, and lack the medical rigor required for professional use.

2Solution

We developed a comprehensive REST API built with Python/Flask that provides instant access to a curated database of verified skincare ingredients. Each ingredient includes comedogenic ratings, contraindications, benefits, and interaction data. The system enforces a "no-guess policy" - if data is uncertain, it flags for professional review rather than providing potentially harmful recommendations.

3Results

  • Extensive ingredient library with comprehensive data profiles
  • Medical-grade accuracy with no-guess policy
  • Embeddable widgets for medspa websites
  • RESTful API for integration into existing systems
  • Tagged for dermatology and healthcare-api use cases

System Architecture

frontend
backend
database
ai
cache
LookupCheck cache
Embed Widget
JS embeddable
Flask API
REST endpoints
Analyzer
Ingredient analysis
PostgreSQL
Ingredient data
Redis Cache
Performance layer

Embeddable skincare API with medical-grade ingredient analysis

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