Publication Date: 2023/08/29
Abstract: This research paper explores the impact of fashion on people’s lives and the challenges of online fashion platforms. With only a few people having a clear understanding of fashion suitable for them, online fashion platforms can pose challenges for those less confident in their fashion sense, detracting from the overall shopping experience as the cost of hiring a fashion designer may prove prohibitive for many. The purpose of this research was to provide a solution for finding the perfect matching outfit for people’s preferences. Providing the solution to this problem required the critical factors of knowledge about fashion, identifying human body characteristics, gathering the user outfit ideas, recommending a suitable outfit base on the user’s ideas, and providing a way to visualize the outcome without FitOn and how to customize the outfit without physically makingor buying. This research uses the Smart Intelligence FashionRecommendation System (SIFR) to address these factors. This system has four components that work together to provide an out- come. Facial expression base intelligent voice assistant and smart mirror component identify the end user’s body characteristics component, recommendation component, and human 3D Model creation and fashion customization component. This research pa- per discusses using computer vision, speech recognition, Natural Language Processing, Knowledge Management, recommendation algorithms,3D Model building, hardware resources management and machine learning, and deep learning to build a humanoid Intelligence System.
Keywords: Computer Vision, Recommendation Algorithms, Speech-to-Text,3D Model, Natural Language Processing, Knowl- Edge Management, Deep Learning, Machine Learning, Facial Ex- Pression Detection
DOI: https://doi.org/10.5281/zenodo.8296432
PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT23MAY2533.pdf
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