Sistema de identificação de indivíduos com capacidades técnicas para a realização de projetos através do histórico acadêmico

Abstract

The available processes to select individuals for technical tasks are influenced by the subjectivity of the interviewer and by slowly procedures of analysis. Moreover, the choice of the most skilled profiles relies on abilities of candidates in communicating their skills. Public universities in Brazil are often involved in research projects and are faced with these obstacles to select the best-fit individuals to take on these projects. Even more, the difficulty to identify the skills of students for potential projects turns it hard to get close partnerships between companies and universities. Bringing the scope to the UTFPR, Curitiba campus, it was developed a prototype of a system to identify potential individuals to compose work teams for technological projects. The proposed project was developed in six main stages: the study of available data, the creation of test data for simulations, the creation of an algorithm to standardize the performance of students, the codification of the software basic core and its interface, the development of an algorithm to select the best-fit profiles and final tests. The application is built in two main modules: the module for algorithm processing and the module to register and view data. The processing is done through an asynchronous search application and an algorithm of a weighted matrix to filter profiles, which can be seen in the visualization module available in a web server. The using of an access layer through a web server intends to favor the data centralization, thus that it can be accessed for all the institution. By using this software, UTFPR will be able to initiate selection processes having the group of available candidates which best matches the requirements of a given task, bringing technological development to a process which used to be made in a mechanical way: the skill analysis.