Recommendation of Contemporary Fashion Trends via AI-Enhanced Multimodal Search Engine and Blockchain Integration

Santosh Gore, Gagandeep Dhindsa, Sujata Gore, N. Jagtap, Umesh Nanavare
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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.
通过ai增强的多模式搜索引擎和区块链集成推荐当代时尚趋势
先进技术的发展为服装行业制造和生产部门的各种自动化和创新铺平了道路。时尚是以色彩和图案的形式来表达一种表达的一种形式。某一特定时期某一特定模特对服装的兴趣被称为时尚趋势。它是通过情感分析制定和评估的。这有助于提取人们对特定设计和主题的兴趣。由于数字环境的进步,时尚潮流的创新正在迅速增加。这有助于通过在线平台从任何地方访问信息。这是通过人工智能实现的增强现实和虚拟现实环境。通过社交媒体的互联,服装和品牌的影响力得到提升。提出的模型有助于通过搜索引擎模式轻松访问一个人的兴趣。在线平台的整个功能和交易都是通过区块链技术来完成的。这有助于在没有任何外部后果的情况下获得安全可靠的交易和信息存储。
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