SURVEY ON NEXT GEN AI QUESTION GENERATOR USING NLP

Computer Engineering

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).

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