Products
SkinScan Pro / Vision AI Screening Demo

AI Skin Lesion Analyzer

A Vision AI Demo for Structured Skin Lesion Screening. SkinScan Pro is an AI-powered web application that analyzes skin lesion images using the ABCDE dermatological screening method.

The application allows users to upload a photo of a mole or skin spot, add clinical context, and receive a structured AI-generated assessment based on common dermatology screening criteria.

This project demonstrates how multimodal AI can turn images and user-provided context into structured, useful, and easy-to-understand outputs.

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Vision Screening Console
GPT-4o Vision
Input
Image upload placeholder
Clinical context
Observed changes and symptoms
Mode
Image + text or text-only history
AAsymmetry
BBorder
CColor
DDiameter
EEvolution
Structured screening response

Risk level, probability range, findings, and recommendation are returned as structured output for clear display.

Risk
Level
Secure Backend

Serverless API proxy keeps model credentials out of the browser.

Landing Page

Product demo lives at skinscan.autoflowca.com.

// THE CHALLENGE

Medical and wellness applications require more than a generic AI response.

A useful AI vision system needs to collect the right context, analyze images carefully, return structured results, avoid false certainty, and communicate limitations clearly.

01

Context matters

Image-only outputs are incomplete without user-provided clinical history, observed changes, and symptoms.

02

Structure matters

The result needs risk level, findings, probability range, recommendations, and limitations in a format the interface can reliably render.

03

Security matters

The application needs to call OpenAI securely without exposing API keys or model credentials in the browser.

04

Responsibility matters

The system must avoid diagnosis claims and communicate that professional medical evaluation is required when appropriate.

// THE SOLUTION

A secure AI vision application powered by GPT-4o Vision and serverless backend architecture.

Users upload an image, select observed changes, add context, and receive a structured response based on the ABCDE dermatology screening method: Asymmetry, Border, Color, Diameter, and Evolution.

Vision analysis

GPT-4o Vision analyzes the uploaded lesion image alongside user-provided context for screening-style output.

ABCDE structure

The prompt and response shape organize observations around common dermatology screening criteria.

Structured response handling

The system returns risk level, estimated probability range, findings, and recommendation in a predictable format.

Secure API proxy

A Netlify serverless backend calls OpenAI without exposing the API key in frontend code.

// KEY FEATURES

Built as a complete AI application, not a loose model experiment.

01

Image-based AI analysis

Upload a skin lesion photo for multimodal model processing.

02

GPT-4o Vision integration

Use vision-capable AI to evaluate image and context together.

03

ABCDE screening structure

Organize results around Asymmetry, Border, Color, Diameter, and Evolution.

04

Text-only mode

Support clinical history input when an image is not available.

05

Risk level classification

Return a screening-style risk level and estimated probability range.

06

Structured JSON response

Parse and display consistent model output in the browser interface.

07

Secure serverless API proxy

Protect model credentials and centralize backend request handling.

08

Responsive web interface

Provide a browser-based medical-themed experience across device sizes.

09

Clear medical disclaimer

Communicate that the application is informational and not a medical diagnosis.

// HOW IT WORKS

A secure workflow from image upload to structured screening output.

01

Upload image

The user uploads a photo of a skin lesion.

02

Add context

The user adds relevant clinical changes or symptoms.

03

Send securely

The frontend sends the request to a secure serverless backend.

04

Call OpenAI

The backend calls OpenAI without exposing the API key.

05

Analyze

GPT-4o Vision analyzes the image and context.

06

Return JSON

The response is returned in a structured format.

07

Display results

The frontend displays the results clearly for the user.

// WHY IT MATTERS

AI vision becomes useful when it is wrapped in product discipline.

This project shows how AI vision can be applied to real-world screening workflows. The important part is not only image analysis. The value comes from the full product design.

  • Secure API architecture.
  • Structured output.
  • Domain-specific prompting.
  • Clear user experience.
  • Responsible disclaimers.
  • Practical deployment.
// BUSINESS VALUE

The same architecture adapts to many image-based workflows.

SkinScan Pro demonstrates how businesses can use AI vision to build interactive tools where users upload an image and receive structured AI feedback.

Health and wellness screening

Create guided intake and triage-style tools for informational workflows.

Insurance intake

Collect visual evidence and return structured summaries for review teams.

Field inspections

Analyze site images and produce consistent observations from mobile uploads.

Quality control

Use image feedback to flag defects, patterns, and review priorities.

Product analysis

Convert customer-submitted photos into structured product insights.

Visual triage

Help teams prioritize cases before manual review.

// TECHNOLOGIES USED

Frontend, serverless backend, multimodal AI, and structured output parsing.

HTML

Static browser interface and upload workflow.

CSS

Responsive medical-themed design and result presentation.

JavaScript

Frontend request handling, state, and structured display logic.

OpenAI GPT-4o Vision

Multimodal image and context analysis.

Netlify Functions

Serverless backend for secure API calls.

Secure API proxy

Protect API keys and centralize model access.

Structured JSON prompting

Return predictable, parsable output.

Responsible AI design

Clear limitations, screening framing, and professional evaluation guidance.

// WHAT THIS DEMONSTRATES

Multimodal AI applications with secure deployment and usable outputs.

SkinScan Pro demonstrates our ability to build AI vision systems that combine image understanding, structured responses, and secure frontend-to-AI workflows.

  • AI vision systems.
  • OpenAI API integration.
  • Prompt engineering.
  • Serverless backend architecture.
  • Secure frontend-to-AI workflows.
  • Structured output parsing.
  • Responsible AI product design.
// IMPORTANT DISCLAIMER

Informational screening only. Not medical diagnosis.

This application is designed for informational and screening purposes only. It does not provide medical diagnosis, treatment, or professional medical advice. Users should always consult a qualified healthcare professional for proper evaluation.

// CALL TO ACTION

Want to build an AI vision tool for your business?

We create secure multimodal AI applications that analyze images, extract insights, and return structured outputs your users can actually act on.

Start an AI Vision Project Open skinscan.autoflowca.com