Artificial intelligence (AI) has generated a new technological revolution in education. AI can be an excellent tool for solving a wide range of problems. For example, the appropriate use of AI can have a beneficial impact on public education in Mexico and can help thousands of students avoid dropping out of school. Even the most acute socio-educational problem is school dropout, and in rural regions of Mexico, this problem is even more serious. Because once students leave school, they are exposed to violence and crime. Therefore, the aim of this work is to use statistical regression analysis through Generative AI, specifically using DeepSeek, to identify those students with a higher probability of school dropout in rural regions of Mexico. This work can be a first pilot test and subsequently be implemented in all rural regions, helping hundreds of students. Fundamentally, a survey was implemented to identify the socioeconomic and academic conditions of the students. The data obtained was analyzed using DeepSeek, and the students most likely to drop out of school were identified. Aditionally, DeepSeek is an attractive option for teachers and the general public without a math degree, as developing a sophisticated mathematical model to predict the probability of dropping out of school is not an easy task. Among the key results of this work is a significant reduction in the dropout rate. DeepSeek's simple features allow for the rapid monitoring of the socioeconomic and academic status of a large number of students.