ML–Based Outfit Suggestion System
Keywords:
Fashion Recommendation, Clothing Recommendation, Deep Learning, Natural Language Processing, Fashion Dataset, Body Shape Analysis, Body Type Analysis.Abstract
Fashion plays a vital role in our daily lives, reflecting personal style and identity. In the realm of fashion and personal style, individuals often grapple with the challenges of selecting outfits that complement their unique body type and body shape. The process of curating a stylish and flattering wardrobe can be time-consuming and daunting, resulting in decision paralysis and a lack of confidence in one's appearance. To address these issues, this project aims to develop an ML–based Outfit Suggestion system. we present a novel ML-based outfit suggestion system that addresses this challenge. Leveraging a comprehensive dataset of clothing items and body shape analysis, our system employs state-of-the-art deep learning, computer vision, and natural language processing techniques. Our system tailors outfit recommendations on the basis of users body type and body shape to meet individual needs. This research contributes to the advancement of fashion recommendation systems, offering a promising solution for fashion-conscious individuals seeking personalized outfit suggestions in diverse contexts.
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