This project explores the relationships between a perfume's fragrance notes and the subjective experience of their emergent accords using a variety of statistical methods including mutual information, principal component analysis, and multilabel classification.

Fragrance Chatbot with Email Functionality This project is a Python script that allows you to interact with a fragrance expert AI and get recommendations on various fragrances. It also provides the option to email the responses to yourself or others. Features Chatbot Interaction: Ask questions about fragrances, such as popular choices.

향을 말로 풀어주고 말한 것을 다시 향으로 해석해주는 AI 향수 큐레이션 서비스

Aromatica: Recommendation Service

playground to experiment with different scent notes

Data-driven analysis of 132 fragrances using SQL and Python. Uncovering insights about pricing, ratings, and scent profiles."

NLP, Computer Vision and Data Science focused project which aims to turn ideas, sentences, emotions, images and user-specified requirements/needs into targeted Perfume recommendations, leveraging the data available on the fragrantica.it website through the PerfumAPI api.

The original proposal as accepted by the Urbit Foundation

A fragrance classification model based on a multiclass classification framework from scikit-learn, where I use my own handcrafted fragrance family and fragrance note dataset to predict which of the four fragrance families (Fougères, Orientals, Chypres, and Gourmands) a scent belongs to, based on its notes.

Static business website for a fragrance brand. Built with HTML and CSS to showcase products, services, and contact details.

This project contains code, data, and models for predicting the gender category (Male, Female, Unisex) of fragrances using machine learning techniques, based on rich metadata scraped from fragrantica.com

This email template is a marketing message aimed at promoting fragrances in the Fashion & Cosmetics industry. It invites recipients to discover their ... | View more at LaravelMail.com

This project is a Flutter application designed to manage a waitlist for a perfume product. It was an 8-hour non-commercial hackathon project. It includes features such as localization and integration with Firebase for saving waitlist data.

Repository for Scent Atlas, an interactive fragrance catalog and exploration platform.

A daily puzzle for perfume lovers inspired by Wordle. Guess the mystery perfume from evolving clues like bottle, notes, brand, and year.