Skin Analysis app

AI, Healthcare System, Mobile App

Skincare app that helps users analyze their skin condition using AI-powered image recognition. By simply taking a selfie, users can receive personalized skincare advice, track their skin's progress over time, and discover suitable beauty products.

Durations:

1.5 years

Team size:

Requirements Definition

Basic Design

Detail Design

Development

Testing

Release

Maintenance

About Project:

The app offers recommendations based on individual skin concerns and aims to support users in maintaining healthy skin.
・Skin diagnosis
・Skin care diary
・Weather information
・Recommended cosmetics
・Skin care procedures
・Bulletin board
・Administrator functions

Devices

Iphone, Android Phone

Server and others

Sakura Cloud

Technology

Laravel

Flutter

AI Skin Analyzer

Challenge

Using AI to analyze selfies for skin conditions (like acne, dryness, wrinkles, or pigmentation) is highly sensitive to lighting, image quality, camera type, and especially skin tone diversity. The system must overcome:
・Bias in AI models trained on limited datasets (e.g., underrepresenting darker skin tones)
・Adapting skincare suggestions based on external factors (e.g., weather, humidity)

Solution

AI Model Training with Diverse Skin Tones and Real-World Image Inputs
・Train skin analysis models using a wide range of skin tones, lighting conditions, and camera types
・Apply pre-processing filters to normalize brightness, contrast, and sharpness before analysis

Personalized Recommendation Engine
・Combine image analysis with:
　・User-provided data (e.g., age, skin type, concerns)
　・Local weather conditions (humidity, UV index)
・Skin care diary entries (routine, lifestyle)

Project Gallery

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