Game-based learning is an approach to learning
where gaming concepts are implemented in learning tasks
designed by teachers. Here, learning activities boost a student’s
commitment and inspiration to learn. Components of game-based
learning include quizzes, point systems, leader boards, and
classroom response systems. With the advancements in the field of
education, game-based learning has proven that it is a utilitarian
option in improving a student’s assessment where paper-based
evaluation is not possible. Various Game-Based Learning Systems
have been built previously and, in this paper, we have compared
11 existing models based on various factors like cost, quiz
customization options, mobile support, etc. We have also pointed
out the benefits and limitations of these systems. None of these
systems give a complete set of all the features without being
exorbitantly costly. So, we aspire to assemble a credible teaching
project where all aspects would be included in a single application
for the complete assessment of every student. The system has
several key features like OCR, Speech to Text recognition,
anti-cheating tools, and feedback after the quiz. For executing
OCR, we have used OpenCV because of its extensive admiration
and for Speech-to-Text Recognition (STR), we have adopted the
SpeechRecognition library because it is quite adaptable. This
system aims at reducing the workload of teachers by creating a test
by scanning the questions with the help of OCR or by using STR
so the teacher need not type the question and also by assessing
students based on their scores