Racket Advisor: desenvolvimento de um MPV web para auxílio à seleção de raquetes de beach tennis

Abstract

The present work presents the development of Racket Advisor, a web-based Minimum Viable Product (MVP) designed to assist beach tennis players in the initial selection of rackets. The project was motivated by the difficulty athletes face when choosing equipment compatible with their individual characteristics, given the wide variety of models available on the market. As a solution, an interactive web application was developed to collect user information through a structured questionnaire, considering aspects such as experience level, playing style, physical condition, and budget range. Based on the collected data, the system performs a guided filtering process using business rules and a scoring mechanism applied to a database containing technical specifications of previously registered rackets. From this process, the application presents a primary and a secondary racket option compatible with the user’s profile. The application wasdeveloped using Laravel as the back end framework, Vue.js for the front-end, and MySQL as the database management system. Artificial intelligence-based tools were also employed to support interface design and application styling. The results demonstrate the technical feasibility of the proposed solution, showing that the system is capable of organizing information in a structured manner and assisting users in the initial process of selecting beach tennis rackets.