Students face a lot of difficulties to secure an admission in the college of their choice. The current scenario of an engineering admission process is little complicated and not so easy in terms of selecting an appropriate college according to the scores and field of interest. Accurate choice, varying with the entrance exam result and academic scores, is very important to the candidates to fill in the application form. There are many colleges offering multiple engineering courses. So it becomes troublesome for students to organize and list-out the proper colleges of their choice for courses according to their performance score. The CAPSLG system consists of a smart list generator working together with the help of college predictor, to aid students in the admission process. The college admission predictor uses historical colleges cut-off students admission data for predicting the most probable colleges. The system analyses student academic merits, background, and college admission criteria. Based on that, it predicts the likelihood of a university college that a student may enter. The smart list generator would enable the student to prepare the list of colleges, which could be needed to be filled in during the admission process. The system would also get feedback from the users, which would prove helpful for prediction evaluation and improving the performance factor.