An Ai-based Intelligent Fashion System For Virtual Try-on And Explainable Personalized Recommendation

• Author(s):

  Mr.B.Jeevanantham | Ms.S.Sabaria

• Keywords:

  Virtual Try-On, Computer Vision, Explainable AI (XAI), Neuro-Symbolic AI, Thin Plate Spline (TPS), Human Pose Estimation, Image Segmentation, Deep Learning, Feature Extraction, Rule-Based System, Fashion Recommendation, Cat VTON, Local Binary Patterns (LB

• Abstract:

  In This Paper, We Introduce A New Virtual Try-On System With The Addition Of An Explainable Suitability Analysis Framework. Our Virtual Try-On System Allows Users To Virtually Try On Clothes With Images Using A Seven-stage Pipeline. Our Approach Differs From Existing Virtual Try-On Systems In Its Use Of A Neuro-symbolic Approach To Analyze The Suitability Of An Outfit Based On Different Occasions. We Have Used Visual Features Like Color, Texture, And Silhouette To Analyze The Suitability Of An Outfit With The Help Of A Rule-based Engine. Our Approach Combines Image Generation With Intelligent Decision- Making.

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Other Details

• Paper id:

  IJSARTV12I4104842

• Published in:

  Volume: 12 Issue: 4 April 2026

• Publication Date:

  2026-04-02

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