Mobile application with artificial intelligence for object recognition and visualization of haircut style

Abstract

This article was based on research and development of a multiclass machine learning model in the design of a mobileapplication. The aforementioned application aims to improve user satisfaction, streamline decision-making, reduceerrors, and foster confidence in students' ability to practice haircutting. At the methodological level, the procedural optionwas based on the use of the Mobile D methodology to offer haircut suggestions for men. Additionally, it included abibliographic investigation, field coverage, and the use of inductive and deductive methods. This application was testedat the Majirel Academy of Hairdressing and Cosmetology in Quito to evaluate men's haircuts using artificial intelligence.The application analyzes facial features to provide personalized options, addressing the growing demand for cosmetologyand styling professionals. This design included a user interface, AI-generated recommendations, and a user profilefocused on enhancing the customer experience and optimizing the time and resources of stylists, which have been crucialin establishing improvements in the training and professional skills of students. It also promotes sustainable practices,reduces waste of products and materials, and equips students with technological skills for the job market