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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

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