This chapter delves into the challenges encountered by studentsStudents in the project selectionSelection and supervision processes at School of Engineering of the Polytechnic University of Porto (ISEP) during the culmination of each academic year. The central focus of the chapter revolves around giving solutions to the intricacies of project selectionSelection and monitoringMonitoring phases. The chapter initiates by elucidating the pivotal role of final academic projectsAcademic projects in studentsStudents. A detailed examination of ISEP’s digital platform to help with project selectionSelection is presented. Subsequently, the chapter navigates through the monitoringMonitoring phase, shedding light on the challenges in communication. To address these challenges, an in-depth study of recommendation systemsRecommendation systems and learning management systemLearning management systems solutions is conducted by analyzing the scientific literature, commercial applications, and tools like ChatGPT. The synthesis of the state-of-the-art analysis leads to the proposition of a solution: the development of a web applicationWeb application that combines a recommendation systemRecommendation systems and some learning management systemLearning management systems functionalities for studentsStudents and supervisorsSupervisors. The solution is based on matrix factorization, content-based filteringContent-based filtering with cosine similarity and natural language processing. Finally, the chapter provides insights about the evaluation of the system, emphasizing parameters such as performance, reliability, and usability.