Abstract

Artificial intelligence (AI) is transforming the fashion industry, especially in areas such as clothing classification, feature extraction, and personalized recommendations. Various AI techniques, such as deep learning models and CNNs, are transforming how fashion businesses operate and how consumers interact with fashion products.One primary focus is the utilization of AI for precise clothing classification. As fashion trends constantly evolve, creating a challenge for accurate categorization, researchers are leveraging deep learning models, such as ResNet and EfficientNet, to enhance classification accuracy. These models have shown promising results in differentiating between subtle variations in clothing styles, colors, and patterns, ultimately leading to a more refined understanding of customer preferences and more effective sales strategies.Furthermore, the effectiveness of hybrid recommendation algorithms that combine content-based filtering and collaborative filtering is explored. This approach leverages the strengths of both methods, improving the accuracy and personalization of fashion recommendations. AI is poised to revolutionize the fashion industry by offering innovative solutions for clothing classification, feature extraction, and personalized recommendations. Significant strides made in AI-driven fashion analysis and emphasize the importance of addressing the associated challenges to unlock the full potential of these technologies in shaping the future of fashion.

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