PDF to MCQ Test Converter

Project Overview
The PDF to MCQ Test Converter is a tool designed to help students practice by automatically generating multiple-choice questions (MCQs) from PDFs. This project extracts key content from educational materials, converts them into structured MCQs, and provides an interactive test format for students.

Key Features

  • PDF Parsing – Extracts text from uploaded PDF documents.
  • Automated MCQ Generation – Uses NLP techniques to create questions from extracted text.
  • Customizable Question Sets – Allows users to modify or add their own questions.
  • Export & Save Options – Saves generated MCQs in a structured format (PDF, CSV, or JSON).
  • User-Friendly Interface – Simple and intuitive UI for easy test creation.

Tech Stack

  • Backend: Python (using libraries like PyMuPDF, PDFMiner, or Textract for PDF processing).
  • MCQ Generation: NLP techniques with SpaCy, NLTK, or OpenAI API.
  • Frontend: React.js or a web-based UI for easy interaction.
  • Storage: MySQL / Firebase for storing MCQs and user data.

How It Works

  1. Upload PDF → User uploads a study material PDF.
  2. Extract Content → The tool extracts key topics and sentences.
  3. Generate MCQs → The system generates multiple-choice questions.
  4. Review & Edit → Users can review, edit, or add questions.
  5. Download & Practice → Export MCQs or take a quiz directly.

Example MCQ Output

{
  "question": "What is the capital of France?",
  "options": ["Berlin", "Madrid", "Paris", "Rome"],
  "answer": "Paris"
}
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