AI Exam Question Generator (PDF to MCQ)

Project Type: NLP Tool / Automation Utility

The AI Exam Question Generator is an intelligent Windows-based assessment tool that converts PDF documents into structured multiple-choice questions within seconds. Built as a standalone executable, it enables educators, students, and training centers to automate question creation effortlessly without relying on online tools or manual rewriting.

Using lightweight natural language processing (NLP), the system extracts key concepts, identifies important themes, and generates clear, context-aligned MCQs. It is especially useful for academic instructors, students preparing for certification exams, and organizations developing training materials at scale.

Key Features

• Automated PDF Text Extraction: Uses a robust parsing pipeline to extract structured text from academic notes, textbooks, and lecture materials.
• Intelligent Question Generation: Generates high-quality multiple-choice questions using topic detection, keyword extraction, and contextual rewriting.
• Customizable Output: Users can specify the number of questions and format preferences before generation.
• Large Document Support: Handles lengthy PDFs, allowing comprehensive exam sets from full chapters or course notes.
• Clean, Export-Ready Format: Outputs well-formatted MCQs suitable for exams, quizzes, and revision sheets.

Tools & Technologies

• Python 3
• PyMuPDF for fast and accurate PDF text extraction
• Lightweight NLP preprocessing (tokenization, summarization heuristics)
• TextRank-style keyword extraction pipeline
• Standalone Windows executable packaging (PyInstaller)

Impact

The tool significantly reduces the time spent preparing exam materials, converting hours of manual drafting into minutes of automated generation. It is highly beneficial for lecturers creating frequent assessments, self-study students who need personalized practice questions, and training centers producing standardized test materials.

By bringing automation and NLP to everyday academic workflows, the tool strengthens digital learning processes and improves assessment quality for a wide range of users.