Autoquest: Intelligent Question Generation From Online Content

• Author(s):

  N Priyanka | Sanvikha S | Shwetha Shree N | Tanushree A | Bhagyalakshmi B

• Keywords:

  Flask, MCQ, Gemini 2.0 Flash, Pdfplumber, Python-docx, Speech-to-text Modules, Gemini API

• Abstract:

  AutoQuest Is A Web-based Application Which Gives Automatic Multiple-choice Questions (MCQs) FromPDF, TXT, DOCX Files, And YouTube Videos. The Application Is Developed Using Flask And Python. AutoQuest Utilizes Google Gemini 2.0 Flash Model To Generate MCQs. The Application Interface Gives User The Choice To Upload Files Of Format .pdf, .txt Or .docx Or Enter YouTube URL. The User Can Also Specify The Number Of Questions To Be Generated. The Application Extracts Text From The Uploaded File Or The YouTube URL And Generates The MCQs. The Generated MCQs Contains Question With Four Options (A-D) And The Correct Option Is Also Mentioned. The Application Has An Interesting Feature That Is YouTube Video Processing To Generate MCQs. The Text Is Extracted From PDF Using Pdfplumber Library And Python-docx Is Used For DOCX Files. For YouTube Video Processing The Audio From The YouTube Video Is Extracted, Speech-to-text Modules Are Used To Get The Text From The Audio. The Extracted Text Is Sent As Prompt To Gemini API To Generate MCQs. The Automatic Question Generation Reduces The Manual Effort And The Time Consumed In The Traditional Question Generation Approach. The Application Is User-friendly And Allows The User To View And Download The MCQs As Both .txt File And .pdf File. Teachers, Lecturers And Trainers Of Schools, Colleges Or Training Institutions Can Utilize This Application To Generate MCQs For Assessments And Quizzes.

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Other Details

• Paper id:

  IJSARTV11I5103663

• Published in:

  Volume: 11 Issue: 5 May 2025

• Publication Date:

  2025-05-24

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