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Title: :  SURVEY ON NEXT GEN AI QUESTION GENERATOR USING NLP
PaperId: :  26166
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 11 Issue 2 2025
DUI:    16.0415/IJARIIE-26166
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Athira ThomasHoly Grace Academy of Enginnering
Alka Tomy KarayilHoly Grace Academy of Enginnering
Aparna SunilHoly Grace Academy of Enginnering
Akshay T SHoly Grace Academy of Enginnering
Reshmi RHoly Grace Academy of Enginnering
Sanam E AntoHoly Grace Academy of Enginnering

Abstract

Computer Engineering
AI, question generation, natural language processing, difficulty classification, Flask, web application, user authentication.
This project introduces an AI-driven Question Generator Web Application built using the Flask web framework, aimed at automating the generation of educational questions from user-provided text inputs. Designed for educators, students, and instructional designers, the application streamlines the process of creating topic-specific questions, which are essential in academic assessments, quizzes, and self-evaluation tools. The system features a modular backend composed of multiple components: a Question Generator, Difficulty Classifier, NLP (Natural Language Processing) Processor, and a Question Output module. When a user submits a topic, the NLP Processor analyses the text for linguistic structure and content semantics. The Difficulty Classifier then determines the appropriate level—basic, intermediate, or advanced—based on selected preferences. The Question Generator uses this data to produce a specified number of well-formed, relevant questions. Finally, the Question Output module formats these questions for clear presentation on the user interface. The application employs Flask for its backend logic and routing, integrates CORS for cross-origin API calls, and supports RESTful communication for dynamic interactions. On the front end, the system uses HTML, CSS, and JavaScript to render a responsive interface, including a login system for user authentication and access control. Key features include real-time question generation, difficulty-level customization, and a user-friendly design. This allows users to quickly generate educational content without needing deep technical or pedagogical expertise. The use of AI not only accelerates the content creation process but also introduces a scalable, efficient approach to personalized learning tools. In essence, this project demonstrates the potential of combining AI and web technologies to enhance modern education. It stands as a proof of concept for integrating intelligent systems into practical web applications, with future potential for extension into multilingual support, adaptive learning systems, and integration with learning management Systems (LMS).

Citations

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IJARIIE Athira Thomas, Alka Tomy Karayil, Aparna Sunil, Akshay T S, Reshmi R, and Sanam E Anto. "SURVEY ON NEXT GEN AI QUESTION GENERATOR USING NLP" International Journal Of Advance Research And Innovative Ideas In Education Volume 11 Issue 2 2025 Page 1650-1659
MLA Athira Thomas, Alka Tomy Karayil, Aparna Sunil, Akshay T S, Reshmi R, and Sanam E Anto. "SURVEY ON NEXT GEN AI QUESTION GENERATOR USING NLP." International Journal Of Advance Research And Innovative Ideas In Education 11.2(2025) : 1650-1659.
APA Athira Thomas, Alka Tomy Karayil, Aparna Sunil, Akshay T S, Reshmi R, & Sanam E Anto. (2025). SURVEY ON NEXT GEN AI QUESTION GENERATOR USING NLP. International Journal Of Advance Research And Innovative Ideas In Education, 11(2), 1650-1659.
Chicago Athira Thomas, Alka Tomy Karayil, Aparna Sunil, Akshay T S, Reshmi R, and Sanam E Anto. "SURVEY ON NEXT GEN AI QUESTION GENERATOR USING NLP." International Journal Of Advance Research And Innovative Ideas In Education 11, no. 2 (2025) : 1650-1659.
Oxford Athira Thomas, Alka Tomy Karayil, Aparna Sunil, Akshay T S, Reshmi R, and Sanam E Anto. 'SURVEY ON NEXT GEN AI QUESTION GENERATOR USING NLP', International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 2, 2025, p. 1650-1659. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/SURVEY_ON_NEXT_GEN_AI_QUESTION_GENERATOR_USING_NLP_ijariie26166.pdf (Accessed : ).
Harvard Athira Thomas, Alka Tomy Karayil, Aparna Sunil, Akshay T S, Reshmi R, and Sanam E Anto. (2025) 'SURVEY ON NEXT GEN AI QUESTION GENERATOR USING NLP', International Journal Of Advance Research And Innovative Ideas In Education, 11(2), pp. 1650-1659IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/SURVEY_ON_NEXT_GEN_AI_QUESTION_GENERATOR_USING_NLP_ijariie26166.pdf (Accessed : )
IEEE Athira Thomas, Alka Tomy Karayil, Aparna Sunil, Akshay T S, Reshmi R, and Sanam E Anto, "SURVEY ON NEXT GEN AI QUESTION GENERATOR USING NLP," International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 2, pp. 1650-1659, Mar-App 2025. [Online]. Available: https://ijariie.com/AdminUploadPdf/SURVEY_ON_NEXT_GEN_AI_QUESTION_GENERATOR_USING_NLP_ijariie26166.pdf [Accessed : ].
Turabian Athira Thomas, Alka Tomy Karayil, Aparna Sunil, Akshay T S, Reshmi R, and Sanam E Anto. "SURVEY ON NEXT GEN AI QUESTION GENERATOR USING NLP." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 11 number 2 ().
Vancouver Athira Thomas, Alka Tomy Karayil, Aparna Sunil, Akshay T S, Reshmi R, and Sanam E Anto. SURVEY ON NEXT GEN AI QUESTION GENERATOR USING NLP. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2025 [Cited : ]; 11(2) : 1650-1659. Available from: https://ijariie.com/AdminUploadPdf/SURVEY_ON_NEXT_GEN_AI_QUESTION_GENERATOR_USING_NLP_ijariie26166.pdf
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