MCQ Generation using NLP Techniques

Automated MCQ generation is a well-liked field of study. It is important for students to expertise in their field of study. Our project consists of 2 phases (Video Summarization, MCQ Generation). In the fastgrowing technology today, we can see that the students are being given video lectures in many institutions. Even though it is effective in learning the concept from scratch using a video,it is not very helpful as in the end it takes more time for revision. In our attempt to Video Summarization, we look to create a certain degree of synopsis that clarifies the video's most educational sections. The most important thing in learning is assessment and the question is crucial for assessment. Online tests are becoming more common at universities, colleges and other educational institutions. The assessment pattern is largely evolving towards objective assessment, i.e., MCQ based. Even though MCQ’s have many advantages like electronic evaluation and less testing time, exam question preparation by hand is a difficult undertaking for educators, when the time is limited. An automated test question generator is provided in this study to address this problem in the creation of multiple-choice exam questions. Distractors are created in order to generate options for queries.