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Case 17/Computer Vision/Skincare / D2C Commerce

AI-Based Facial Skin Analysis & Product Recommendation

Real-time webcam skin analysis with personalised product recommendations and seamless e-commerce checkout.

The challenge

What was breaking

A skincare platform needed to give users automated, real-time skin analysis without manual consultation, and convert that into trustworthy product recommendations.

The solution

Facial Skin Analysis

A computer-vision pipeline using YOLOv8 to detect skin concerns from a webcam capture, score them and recommend matching products through the platform.

  • Webcam-based facial capture across orientations
  • Multi-condition detection (dark circles, pigmentation, redness, wrinkles)
  • Per-issue and overall skin scoring
  • Product recommendation engine
  • Seamless e-commerce integration
Solution design

How it works

5 stages
  1. 01

    Capture

    Real-time facial image captured via webcam across lighting conditions.

  2. 02

    Detect

    YOLOv8 detects dark circles, pigmentation, redness and wrinkles.

  3. 03

    Score

    Per-issue scores and an overall skin score generated.

  4. 04

    Recommend

    Detected issues mapped to relevant skincare products.

  5. 05

    Convert

    Recommendations surface in the storefront for direct purchase.

Key outcomes

What changed

  • Real-time webcam-based skin analysis
  • Accurate multi-condition detection
  • Personalised product recommendations
  • Seamless e-commerce integration
  • Scalable and extensible platform
Capabilities

Inside the build

Webcam-based facial capture across orientations
Multi-condition detection (dark circles, pigmentation, redness, wrinkles)
Per-issue and overall skin scoring
Product recommendation engine
Seamless e-commerce integration
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