DermGuard Pro
Medical-Grade Skincare Ingredient Analyzer
DermGuard Pro is a Python + Flask REST API for medical aesthetics — an extensive skincare ingredient database with comedogenic ratings, interaction warnings, and a "no-guess" policy, delivered via embeddable JS widgets with sub-second lookup latency.
// the problem
Challenge
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.
// what we built
Solution
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.
// shipped
Key features
- Ingredient lookup with comedogenic ratings
- Skin type compatibility analysis
- Ingredient interaction warnings
- Embeddable search widgets for websites
- Bulk ingredient analysis for product formulations
- Client skin profile management
- Evidence-based recommendations only
// stack.json
Tech stack
The exact tools shipping this product in production.
- Python
- Flask
- REST API
- PostgreSQL
- Docker
- JavaScript (Widgets)
- CSS
// system.diagram()
Architecture
Embeddable skincare API with medical-grade ingredient analysis
- frontend
- backend
- ai
- database
- cache
// receipts
Results
- 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
// faq
Frequently asked questions
What is the "no-guess policy" in DermGuard Pro?
If the ingredient data is uncertain or incomplete, the API flags the record for professional review instead of returning a potentially harmful recommendation. This is the core safety guarantee for a medical-grade tool.
What technology stack powers DermGuard Pro?
Python and Flask for the REST API, PostgreSQL for the ingredient database, Redis for caching lookups under sub-second latency, JavaScript and CSS for embeddable widgets, and Docker for deployment.
How do medspas integrate DermGuard Pro into their existing sites?
Two ways — drop-in embeddable JavaScript widgets for lookups directly on the medspa website, or the REST API for deeper integration into existing practice management software.
What data does each ingredient record include?
Comedogenic rating, skin type compatibility, contraindications, known interactions with other ingredients, clinical benefits, and evidence-based notes — enough for a practitioner to make a safe recommendation.
Can DermGuard Pro analyze full product formulations?
Yes — the bulk ingredient analysis endpoint accepts a product's full INCI list and returns aggregated safety, interaction, and compatibility data for the entire formulation.
// next()
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