Abstract:
The need for new and effective methods of instruction and evaluation is always
expanding in the context of a changing educational environment. It takes a lot of time
and resources to create manual questions for educational exams, especially for teachers
who are responsible for promoting student growth and information acquisition. Our
project, "Automatic Question Generation Employing NLP Techniques," offers a
solution to this problem by harnessing the power of artificial intelligence, notably
natural language processing (NLP) techniques, to automatically generate questions.
This project focuses on elementary pupils in grades 1 through 5, where basic
knowledge is crucial to a student's academic development. Our approach intends to
speed up the process of creating questions and tests, giving teachers a useful tool to
accurately measure student understanding. To extract relevant information, identify
key concepts, and categorize question types, machine learning models that have been
trained on a variety of data sources are used. In line with educational goals, the
generated questions are made to test a range of cognitive abilities, from simple memory
to higher-order thinking. Students' learning experiences can be improved, and self-
evaluation can be made easier by providing answers to the questions generated. A web
application-based software solution that is poised to transform the process of
educational evaluation is the anticipated result of this project. Our initiative intends to
empower educators, save valuable time, and give students engaging and effective
learning opportunities by automating the generation of questions and quizzes. As we
set out on this adventure, we hope that this initiative will make teaching easier while
also expanding the area of educational technology and improving access to and
engagement with learning. It will work in four different ways: it will generate
questions from some text, it generates fill-in-the- blanks, it also can generate answers
of the user questions and last but not the least both questions and answers automatically
