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TEAM

TotallyMakeScents

Juntong Su, Yevgeniya Tarasova

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We developed a perfume recommendation system that returns a list of perfumes from user preferences according to the tastes of similar users and the notes of perfumes. Choosing a perfume on the internet is almost always difficult, especially for a fresh customer without access to samples. Flipping through the perfume encyclopedia, drowning in the sea of top, middle, and base notes, deciphering the ingredients and accords, emerging in the comments and debates on fragrance forums, visualizing the descriptions from KOLs – we got rid of all those hassles with a straightforward app. Just enter the scents and the sentiments, we make scents for the users within a few seconds.

This project is the very beginning of a long term project. In the future, the recommender should be able to generate lists of perfumes based on user queries, which could be short descriptions, moods, or even movie quotes. Please stay tuned while we MAKE SCENTS!

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