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Abstract
This project addresses the common challenge of choosing appropriate attire for various occasions by leveraging machine learning and image processing techniques. The aim is to develop occasion-specific outfit recommendation models, utilizing positive and negative samples for training. The system employs user-provided clothing images as test data, enabling the algorithm to classify garments according to the occasion they are suitable for. Users can request outfit suggestions by specifying the occasion, and the algorithm will present relevant choices. The project's innovation lies in its potential to offer personalized attire recommendations and enhance user decision-making, effectively aiding individuals in selecting the right outfit for any event. The proposed model promises to simplify the often complex task of outfit selection, presenting users with five suitable options for their specified occasion.
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