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The generation of question papers through a question bank is an important activity in learning management systems and educational institutions. The quality of question paper is based on various design constraints such as whether a question paper assesses different problem solving skills, whether it covers all units from the syllabus of a course and whether it covers various difficulty levels. Preparing the exam questions is very challenging, tedious and time consuming for the instructors. Thus with the help of this paper we present the solution in form of Automatic Question Paper Generator System (QGS). The design process performs and composes the examination paper using an efficient algorithm with a high rate of success. From the entered input files, the examination paper will be generated automatically. The final paper may be stored as ‘PDF’ files. The system shows characteristics like simple operation, a great interface, good usability, immense security, and high stability along with reliability
Keywords:
AI-Based Automated Generation of Question Paper uses AI for automated question generation with NLP, creating MCQs, Fill-in-the-blanks, and WH Questions. It adapts question difficulty based on student performance, offers cloud-based management for easy access, and includes automated grading for instant feedback, streamlining the exam process.
Cite Article:
"AI BASED AUTOMATIC GENERATION OF QUESTION PAPER", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.10, Issue 4, page no.c340-c346, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504261.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator