The issue of student assessment becomes even more significant as computer scientist as a subject matter expands its bounds. These assessments are important instruments to evaluate students’ achievements; therefore, the need for a complex question generation system is obvious. It becomes almost impossible for the educational institutes to set the ideal question paper. The traditional approaches are also inconvenient since the questions have to be written by the lecturers. In this case, our system has it easier for the faculty to generate random questions out of the many in the large question database based on the set of chapters made available. This paper focuses on the following research and review techniques used in the development of question papers, particularly using algorithms, databases, and bloom’s taxonomy of six dealing with generation of good examination questions in relation to other learners depending on hierarchies and sections selected by teachers. Through question paper generation, we envision improving the processes of education in a teaching-learning environment.