FITS: Fashion Innovation Through Synthesis

FITS: Fashion Innovation Through Synthesis represents an advanced AI-driven fashion recommendation system that utilizes deep learning, computer vision, and artificial intelligence to offer highly personalized styling guidance. By employing YOLOv11 for facial detection and MediaPipe Pose for body analysis, the system delivers real-time outfit suggestions tailored to users' body type, skin tone, and current weather conditions. A distinctive feature of FITS is its weather-aware fashion recommendations, wherein the system incorporates real-time meteorological data to suggest outfits optimized for both comfort and style. Additionally, the system supports image-based product recognition, enabling users to upload clothing images and receive AI-generated suggestions for visually similar fashion items. Designed with a privacy-conscious, real-time architecture, the system guarantees low-latency performance and secure user interactions. Future enhancements include the expansion of the fashion dataset and the integration of e-commerce APIs, facilitating a seamless AI-driven shopping experience. By integrating state-of-the-art deep learning models with interactive recommendations, FITS provides a next-generation fashion advisory platform tailored to individual user preferences.