Trung Tran@trungthanhtran899

In the era of connection and technological innovation, e-commerce fashion is not a peculiar term. All styles, and fashion trends are shared widely on various social media platforms (Instagram, Tiktok, Facebook, Twitter, etc.). However, in such a big platform, reviewers are coped with lots of idea to make content with in a short amount of time to upload and stay updated within the community. The outfit combinations are vast and the resources are limited to promote the item. Therefore, our service used LLaMa tool to make recommendations and reason with reviewers as to why they should combine this to that item. It’s not only the outfit recommendation but the unique feature is reasoning, which are supporting reasons why this item can go with another.

NarrAItor simply cut to the chase of a final audio version of one book. Instead of finding and arranging a live recording for voice talents, publishers now can tailor their own voice for their audio version of a book. With just one click, a voice can be generated to match with all necessary features of a book such as: Name/Title, Release date, Author, Genre, Summary/Plot, Number of words, Length, Main character, Rating. We apply two solutions to this service: either a rule-based one or embedding one. This service undoubtfully diminishes excessive cost to operate for publishers when they want to diversify themselves in the publishing field, while in the future lets the clients of all walks of life to make their own decision for their voice favor.

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