Uso de Inteligência Artificial na automação do processo de triagem curricular em uma empresa administradora de condomínios

Abstract

This technical article aims to propose the use of Gemini Artificial Intelligence as a tool for automation and performance improvement in the resume screening process at a condominium management company. The study is based on the need to modernize the Human Resources department, which currently faces operational bottlenecks due to the manual screening model and a 37% turnover rate. The methodology is characterized as exploratory and descriptive research, involving the mapping of the current workflow, the diagnosis of bottlenecks, and the development of a practical proposal based on large-scale language models (LLMs). The expected results aim to demonstrate how automation reduces the duration of selection processes and ensures the standardization of technical evaluations, enabling greater agility for HR and making the sector more strategic.