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Download PDFOpen PDF in browserFashion Recommendation SystemEasyChair Preprint 100136 pages•Date: May 9, 2023AbstractArtificial intelligence is becoming more and more helpful in producing individualized product reviews on e-commerce websites, person-specific ads, categorizing goods, and identifying colors in photographs. One of the most important sectors in our world now is fashion. One of the main ways that people now show their personalities is through their sense of style. They set themselves apart from people nearby. In this project, we're creating a fashion recommender device that uses artificial intelligence to categorize a person's attire and select the best clothing for a specific occasion using a recommendation algorithm. Unlike traditional structures that rely on a customer's past purchases and records, this project aims to use a customer-provided image of a product as input to produce suggestions because often individuals see something they are interested in purchasing. interested in and have the propensity to search for goods that are comparable to that. According to the prototype system, it could assess the user's attire from photos, choose the style and color of the attire, and then, based on the user's present attire, suggest the most appropriate outfit for the event. Users can save images of their clothes in the system's closet. To categorize the type of apparel in photographs, we investigate machine learning and deep learning algorithms. Keyphrases: CNN, Fashion, Python, Recommendation System, deep learning, e-commerce, image processing Download PDFOpen PDF in browser |
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