Abstract:
Web based mobile applications, machine learning and Artificial Intelligence (AI) are most
popular trend of modern Information Technology in current society. It makes more advantage
and large network with World Wide Web with millions of mobile computing devices. With the
development of the computer technology, it is adapting all of manual systems to web based
applications and mobile applications. When it becomes to automation, it combines with
machine learning and AI. In traditional fashion design selection manual systems, when a person
needs to participate an event (ceremonial event) she/he needs to select hair style from a saloon,
dresses from textile shop and accessories from a respective shop. It is happening at three
different physically isolated places. There is no a such method to fulfil those three needs by a
computerized system even there is no physical place to fulfill that. In here it is examining the
need of web based mobile application for online fashion design selection with machine learning
& AI. Frist, this research report discussed the current fashion design systems, current problems
of them and objectives of the research study. Secondly, this research presents a literature review
on theoretical and knowledge models for presenting system. Under the third part it will be
presented conceptual framework, hypothesis, variables and indicators of study. Multi stage
sampling technique will be used to identify the cluster and it will be used to gather data. The
questionnaire will be developed to evaluate each identified indicators and collected the data
will be analyzed using Minitab statistical software. Data analysis and research findings will be
presented at the fourth part of the research report. Finally, it will be presented the essential
functional requirements and elicitations, recommendations to future development on above
systems and limitations to develop the web based mobile application for online fashion design
selection with machine learning and AI for software developers
