FASHN Virtual Try-On is an innovative AI platform that redefines digital fashion experiences through cutting-edge augmented reality and computer vision technologies. The system begins by capturing precise body measurements using smartphone cameras or uploaded photos, generating a personalized 3D avatar that mirrors the user's unique body shape and proportions. This digital twin serves as the foundation for trying on various clothing items from partner brands and retailers. Users can browse through extensive digital catalogs featuring diverse styles, from casual wear to formal attire, and instantly visualize how each garment fits and moves on their virtual body. The platform offers multiple viewing angles, fabric simulation, and fit analysis to provide comprehensive product understanding. Retailers benefit from seamless API integration that allows embedding the virtual try-on experience directly into their e-commerce platforms. Advanced features include size recommendation algorithms, outfit coordination suggestions, and social sharing capabilities. The technology significantly reduces return rates by ensuring accurate fit visualization before purchase while enhancing customer engagement through interactive shopping experiences. FASHN's continuous learning algorithms improve avatar accuracy with each use, adapting to subtle body changes over time. The platform supports accessories try-on and upcoming features include virtual styling consultations and AI-generated fashion recommendations based on user preferences and body type.