Virtual Try-On Solutions for Kids' Wear

The integration of Machine Learning (ML) and Augmented Reality (AR) is revolutionizing the e-commerce industry, particularly in online fashion retail. This paper presents a Virtual Try-On Solution for Kids’ Wear, utilizing ML algorithms for body shape detection, size prediction, and realistic garment fitting. The system employs deep learning-based image processing and computer vision techniques to accurately overlay clothing items onto a child’s digital avatar or real-time image. By leveraging pose estimation, GAN-based image synthesis, and recommendation models, the solution enhances personalization, ensuring a precise fit and reducing return rate.