This document discusses using decision trees to predict career decisions for 12th grade students in India. It first provides background on the challenges in the Indian education system and how data mining can help improve decision making. It then reviews previous studies applying various data mining techniques like decision trees and random forests to predict student performance. The paper proposes using a decision tree approach on student data to distinguish slow and fast learners and help students make better career choices based on their interests and skills. The decision tree approach achieved 80% accuracy in predicting student career decisions, helping students choose appropriate paths.