Abstract:
"During the period of Covid pandemic people still wanted to move
on with their regular activities. Therefore, the technology
applications were challenging part for them but to do their regular
activities they had no choices so they had to move on with these
challenging technology applications. And because of the Covid
pandemic, more new online applications with different domains
were joining the business market. Based on my research and
findings the problem is most customers struggle to find a
particular clothing items in traditional clothing shops for their
events such as ceremonies, birthday parties, sporting events,
Gatherings etc, they are wasting their time, couldn’t get a dress,
selected dress is not satisfied and their traveling expenses by
searching from other clothing shops based on their preferences.
Based on these problem backgrounds, The project aims to analyze
the problems faced by the customers. To design and develop a
suitable online web application platform solution. The project aim
is to develop a fashion recommendation clothing website for an
online shopping system that can help customers find clothes that
meet their specific needs and preferences to attend their events.
To understand more about the existing solutions and technologies
in use in the area, a literature review was conducted and with that,
a survey with a targeted set of customers was used to review the
findings. The website will use machine learning algorithms to
provide personalized recommendations. The methodology
followed involves collecting and analyzing data on customer
behaviors and preferences, identifying relevant attributes for
different clothing items. The main result of this project is the
development of a recommendation website that can help
customers find clothing items that meet their specific needs and
preferences based on their event. This project has the potential to
improve customer satisfaction and increase sales."
