AI personal fragrance consultation and fragrance selection/recommendation

A method executable by computing circuitry comprising:

• collecting sensor data from a sensor array of a user computing device, the sensor array comprising a camera, a microphone, and a volatile organic compound (VOC) sensor, the sensor data comprising attributes of a user in a current environment;
• collecting an air sample using the VOC sensor;
• evaluating the air sample to identify concentrations of a set of VOCs;
• obtaining user data for the user associated with the user computing device;
• extracting customer attribute features from the sensor data and the user data;
• querying a fragrance database using the concentrations of the set of VOCs to identify a present fragrance;
• obtaining fragrance attribute features for the present fragrance from the fragrance database;
• adding the fragrance attribute features to the customer attribute features;
• establishing a first recommendation pathway to evaluate the customer attribute features using a fragrance recommendation model to calculate a set of customer preference probabilities for fragrances in the fragrance database, wherein the set of customer preference probabilities are calculated as correlation coefficients;
• and
• outputting a fragrance recommendation to the user, via a display of the user computing device, based on the set of customer preference probabilities, wherein the fragrance recommendation is selected from a fragrance database comprising correlations between customer attributes and fragrance attributes.