Conecta - desenvolvimento de um sistema de recomendação de vagas para estudantes

Abstract

This work presents the development of Conecta, a web system designed to recommend job opportunities to students using modern techniques of semantic analysis, text processing, and vector search. The solution aims to connect students and companies more efficiently by automating the identification of compatibility between professional profiles and available positions. To achieve this, an architecture was defined using Next.js on the frontend, FastAPI on the backend, PostgreSQL for relational storage, and Qdrant for managing embeddings and similarity calculations. The system implements functionalities such as user registration, profile management, job posting, and recommendation generation based on semantic criteria. Intuitive interfaces were developed for both students and companies, ensuring a clear user experience. Despite the fact that the formal validation stage has not yet been conducted, the architecture and implemented mechanisms already exhibit a significant degree of maturity, reinforcing the solution’s potential to support opportunity screening and organization processes. The current state of the system provides a consistent foundation for future studies, testing, and further extensions.