Use of machine learning libraries and artificial intelligence services for the recommendation and correct combination of clothing sets

Santillán D.; Calle R.A.; Subauste D. · Memorias de la Conferencia Iberoamericana de Complejidad, Informatica y Cibernetica, CICIC (2024) · DOI: 10.54808/cicic2024.01.296

Resumen

This study investigates the use of machine learning and artificial intelligence tools for a mobile solution based on people's need to match their clothes coherently. To achieve this objective, machine learning libraries and artificial intelligence services for image generation through text have been investigated, as well as predefined neural network models to contribute to the processing of an image and provide the user with a series of combinations of clothes consistent with the photo of a garment, which is extracted from the camera or gallery of your device. Also, the way in which machine learning models and intelligence services contribute to the correct classification of clothing will be studied, as well as its generation, based on fashion standards, which will serve as input data for the services mentioned above.In this way, users will be provided with a decision support tool to know what to wear, without the need to invest a lot of time in specialized fashion platforms or social networks. In short, the aim is to optimize the user's time for the development of this type of daily activities.

Instituciones: Universidad Peruana de Ciencias Aplicadas