Method and system for a smart makeup mirror

A system comprising:

• a memory storing instructions;
• one or more Input/Output (I/O) interfaces;
• and
• one or more hardware processors coupled to the memory via the one or more I/O interfaces, wherein the one or more hardware processors are configured by the instructions to:
• receive, via an Input/Output (I/O) interface a query from a user for one or more personalized makeup recommendations;
• generate an initial question based on the received query, and at least one scenario with default weight and engagement factor values to collect response of the user, wherein one or more successive questions based on the response from the user of the generated previous question using a large language model (LLM);
• compute a personality trait score based on the one or more responses from the user, wherein a personality trait of the user is determined based on the computed personality trait score;
• obtain one or more contextual parameters from the user, wherein the one or more contextual parameters comprise an occasion, a location and a time;
• and
• recommend one or more make-up preferences based on the personality trait of the user and one or more contextual parameters by prompting an LLM model.

One or more non-transitory machine-readable information storage mediums comprising one or more instructions which when executed by one or more hardware processors cause:

• receiving, via an Input/Output (I/O) interface, a query from a user for one or more personalized makeup recommendations;
• generating, an initial question based on the received query, and at least one scenario with default weight and engagement factor values to collect response of the user, wherein one or more successive questions are generated based on the response from the user of the generated previous question using a large language model (LLM);
• computing a personality trait score based on the one or more responses from the user, wherein a personality trait of the user is determined based on the computed personality trait score;
• obtaining one or more contextual parameters from the user, wherein the one or more contextual parameters comprise an occasion, a location and a time;
• and
• recommending one or more make-up preferences based on the personality trait of the user and one or more contextual parameters by prompting the LLM model.