In the field of education, the decision-making framework has undergone a major transformation and evolution thanks to advances in artificial intelligence, making it possible to efficiently exploit and analyze academic data, extracurricular activities and student socio-demographic data. The use of AI techniques makes it possible to predict academic performance, identify career aspirations and recommend characteristics for academic improvement. The aim is to provide each student with individualized support, while optimizing their educational process. Machine learning occupies a central place in this field, offering powerful tools for analyzing and interpreting vast data sets, these models not only guide students towards informed choices, but also recommend improvement strategies tailored to their specific needs. This innovative decision-making framework contributes to the creation of a more inclusive educational environment, focused on individual and collective success.