Santosh Gore, Gagandeep Dhindsa, Sujata Gore, N. Jagtap, Umesh Nanavare
{"title":"Recommendation of Contemporary Fashion Trends via AI-Enhanced Multimodal Search Engine and Blockchain Integration","authors":"Santosh Gore, Gagandeep Dhindsa, Sujata Gore, N. Jagtap, Umesh Nanavare","doi":"10.1109/ICESC57686.2023.10193587","DOIUrl":null,"url":null,"abstract":"The evolution of advanced technology paved way for various automations and innovations in the manufacturing and production sectors in clothing industry. The fashion is a form of expressing one expression in the form of color and designs. The interest of clothing for a particular model in a particular intervals of time are termed as fashion trend. It is formulated and evaluated through the sentiment analysis. This helps to extract the people’s interest towards the particular design and theme. The innovation of fashion trend is increasing rapidly due to the advancement of digital environment. This helps to access the information from anywhere through online platform. This is implemented through augmented and virtual reality environments through artificial intelligence. The influence of clothing and its brand are enhanced through the social media interconnections. Proposed model helps to easily access one’s interest through the search engine modalities. The entire functioning and transactions in the online platform are done through the block chain technology. This helps to obtain safe and secure transactions and storing of information without any external consequences.","PeriodicalId":235381,"journal":{"name":"2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICESC57686.2023.10193587","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The evolution of advanced technology paved way for various automations and innovations in the manufacturing and production sectors in clothing industry. The fashion is a form of expressing one expression in the form of color and designs. The interest of clothing for a particular model in a particular intervals of time are termed as fashion trend. It is formulated and evaluated through the sentiment analysis. This helps to extract the people’s interest towards the particular design and theme. The innovation of fashion trend is increasing rapidly due to the advancement of digital environment. This helps to access the information from anywhere through online platform. This is implemented through augmented and virtual reality environments through artificial intelligence. The influence of clothing and its brand are enhanced through the social media interconnections. Proposed model helps to easily access one’s interest through the search engine modalities. The entire functioning and transactions in the online platform are done through the block chain technology. This helps to obtain safe and secure transactions and storing of information without any external consequences.