FashFit: Personalized Outfit Illusion Using Face and Garment Matching

The significant research contribution of this work lies in the development of FashFit, a personalized outfit recommendation and visualization system that goes beyond typical e-commerce virtual try-on tools. Instead of focusing on sales, it acts as a personal fashion advisor by analyzing user-specific features such as face shape, body size, skin tone, and fabric preferences, and then matching them with garment attributes like color, silhouette, and fabric type. Using computer vision and image processing, the system generates a virtual illusion of the user wearing the suggested outfits, allowing individuals to visualize suitability before making clothing choices. This contributes to fashion technology by filling the gap between simple visualization and true personalization, helping users make confident outfit decisions and reducing the trial-and-error process in clothing selection.