According to the study of Dayao, R. J. C (2018) the Philippines faces a problem of improving Filipino students’ performance in mathematics and science. Many Filipino students lacked the capacity to academically compete globally. Geometry was one of the lowest mastered areas in grade 8 students and many were below the 75% passing mark (Capate, 2017). This shows that many students have difficulties mastering the contents of these topics. This study presents the development of a mobile application that uses an Intelligent Tutoring System (ITS) for grade 8 students in the topic of Geometry, specifically Triangles. The application uses the Logistic regression algorithm to predict the confusion behavior of the students by having confusion as the dependent variable and Score, TakingTime, TimePercentage, and GuessCheck constraints as the independent variables. It also uses a fuzzy logic controller (FLC) to evaluate and categorize students’ performance during quizzes. The FLC mirrors human reasoning processes to distinguish varying levels of mastery. The respondents of the study will be grade 8 students of no particular school with a sample size of 30. The logistic regression model exhibited high accuracy of 95% in identifying student confusion and allows for timely intervention. Students that also took multiple attempts using the application also displayed higher scores on their subsequent quiz attempts.