Back to Projects

Virtual Try-On System

AI-powered virtual try-on system using computer vision and deep learning for fashion e-commerce.

6 months
Computer Vision Engineer
Computer Vision
Virtual Try-On System

Project Overview

An innovative virtual try-on system that allows customers to virtually try on clothing items using augmented reality and computer vision. The system uses pose estimation and garment transfer techniques to provide realistic try-on experiences.

Key Features

  • •Real-time pose estimation
  • •Garment fitting simulation
  • •Size recommendation system
  • •Virtual wardrobe management
  • •Social sharing capabilities
  • •Mobile-responsive design

Technical Challenges

  • •Accurate pose estimation in various conditions
  • •Realistic garment deformation
  • •Real-time performance optimization
  • •Handling different body types and sizes
  • •Integration with e-commerce platforms

Results & Impact

  • •40% reduction in return rates
  • •Increased customer engagement by 60%
  • •Improved user satisfaction scores
  • •Successfully integrated with major fashion brands

Technologies Used

PythonMediaPipeOpenCVPyTorchDeep LearningAR