For a productive life, education plays a critical role to fill individual life with value and excellence. Education is compulsory to provide things that individuals partake in to compete in the modern world. Predicting the academic performance of the student is the most successive research in this era. A different set of approaches and methods are incorporated to increase student performance. However, this is a challenging task due to the wrong course selection. In the proposed study, we have used the hybrid approach consisting of Cluster-based Linear Discriminant Analysis (CLDA) and Artificial Neural Network (ANN) to provide the prospective students with the motivational comments and the video recommendations by which students can choose the right subject and the comments will facilitate the students with the insight reasons of dropout opted by other students for this course. The outcomes of this study will help in the reduction of the number of dropouts. The students will be able to choose an appropriate course for performance enhancement and carrier excel.

对于生产性生活，教育发挥着至关重要的作用，以使个人生活充满价值和卓越。必须提供教育以提供个人参与以参与现代世界竞争的事物。预测学生的学习成绩是该时代最连续的研究。并入了一套不同的方法和方法来提高学生的表现。然而，由于错误的课程选择，这是一项具有挑战性的任务。在拟议的研究中，我们使用了基于聚类的线性判别分析（CLDA）和人工神经网络（ANN）的混合方法，为准学生提供激励性评论和视频推荐，以帮助他们选择合适的主题，这些评论将有助于具有其他学生选择辍学的深刻原因的学生选择本课程。这项研究的结果将有助于减少辍学人数。学生将能够选择适当的课程来提高绩效和取得卓越的载体。