Fashion-Angular

Fashion-Angular is a high-performance, open-source AI framework specifically engineered for the 2026 fashion retail landscape. It bridges the gap between sophisticated Computer Vision models and the Angular frontend ecosystem. The architecture utilizes a decoupled approach where the Angular client-side handles reactive UI/UX for image uploads and real-time filtering, while the backend leverages Convolutional Neural Networks (CNNs) and Vision Transformers (ViT) to perform feature extraction and vector-based similarity searches. By 2026, it has positioned itself as the industry standard for mid-to-large scale retailers who require the agility of Angular with the power of integrated AI search. The framework includes pre-built modules for automated product tagging, visual 'find-similar' capabilities, and deep-learning-based trend analysis. Unlike generic e-commerce templates, Fashion-Angular focuses on 'Semantic Visual Understanding,' meaning it can distinguish between subtle garment textures, patterns, and silhouettes, providing a search precision rate that significantly reduces bounce rates in high-intent shopping sessions. It is designed to be cloud-agnostic, supporting deployment across AWS, GCP, and Azure through standardized Docker containers.