Abstract

AI is revolutionizing fashion by automating clothing categorization and trend identification. This project classifies outfits into casual, sports, and formal categories using TensorFlow, ensuring accurate classification while identifying key attributes like gender, color, and outfit type. Convolutional Neural Networks (CNNs) enhance pattern recognition, improving classification accuracy. The model refines fashion suggestions, facilitates product filtering on e commerce platforms, and provides tailored outfit recommendations, leading to an improved shopping experience and higher customer satisfaction. Retailers benefit from optimized inventory management and better demand forecasting. As AI continues to evolve, its role in fashion innovation will expand, enabling more precise style predictions and enhanced personalization. This paper highlights how machine learning transforms fashion by streamlining outfit classification and makin more efficient, intelligent, and user- centric.