Authors :
Hansana A.T.L; Karandawela S.L; Kavindi N.A.H; De Silva T.H.H.H; Dr Lakmini Abeywardena
Volume/Issue :
Volume 8 - 2023, Issue 5 - May
Google Scholar :
https://bit.ly/3TmGbDi
Scribd :
https://tinyurl.com/ynt44y7y
DOI :
https://doi.org/10.5281/zenodo.8296432
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
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
