Desarrollo de un aplicativo web para sistemas de recomendación de prácticas preprofesionales en la bolsa de trabajo para los estudiantes de la Universidad Politécnica Salesiana

Abstract

This project aims to create a customized web application for students at the Salesian Polytechnic University's Quito campus, specifically the south campus. The objective is to enhance the job board management system and tailor it to individual students' needs, considering their resumes and academic profiles. By doing so, the goal is to generate a qualitative assessment that measures the similarity between all the postings in the system and the personal information, work experience, academic achievements, and more of registered students using the application. To accomplish this goal, our proposal entails implementing an experimental methodology that leverages collaborative learning and natural language processing. This approach will enable the analysis of extensive datasets containing information about students and companies already registered in the system. Through this process, we will develop a web application equipped with a highly personalized and scalable recommendation system. This system will empower students, teachers, and companies to easily view and apply for job opportunities, as well as request employment information tailored to each student's unique skills and abilities. It holds particular significance because, in the academic field, professional internships and job placement are a fundamental step in the beginning of students' professional lives. Based on this, we seek to achieve a fast, comfortable, and dynamic process that ensures the efficiency and accuracy of the system, which can significantly impact the competitiveness and success of the business.