📘 Automated Question Generation (AQG)

The Automated Question Generator (AQG) is a Streamlit-based web application that intelligently extracts, summarizes, and generates meaningful questions from uploaded PDF documents. It is built to assist students, educators, and professionals by simplifying the process of information retrieval and review using advanced natural language processing techniques.

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🚀 Features

• 📄 PDF Upload & Text Extraction – Upload academic papers, research articles, or notes in PDF format and extract content using PyPDF2.
• 🧹 Text Preprocessing – Cleans the extracted text for better model performance.
• ✨ Content Summarization – Uses the pre-trained BART model to generate concise and meaningful summaries.
• ❓ Question Generation – Employs the T5 model to generate high-quality questions from the summarized text.
• 🛠️ Customizable Q&A Types – Choose between:
  • 🔹 One-word answer questions
  • 🔹 Sentence-based answer questions
• 🧠 Iterative & Modular Design – Supports continuous improvement based on user feedback.
• 🖥️ User-Friendly Interface – Built using Streamlit for quick deployment and ease of use.

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🧰 Tech Stack

• Frontend/UI: Streamlit
• Text Extraction: PyPDF2
• Summarization: Facebook BART (via Hugging Face Transformers)
• Question Generation: T5 Model (via Hugging Face Transformers)
• Backend Logic: Python, Transformers, NLP utilities

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🎓 Use Cases

• 📚 Students preparing for exams or quizzes
• 🧑‍🏫 Teachers generating quick assessment questions
• 📑 Researchers reviewing lengthy papers
• 📊 Professionals needing quick comprehension of technical documents

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🎥 Working Prototype Video

▶️ Watch on Google Drive

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🛠 Installation & Setup

1️⃣ Clone the Repository

git clone https://github.com/PremPanchal1224/Automated-Question-Answer-Generator.git
cd Automated-Question-Answer-Generator