 |
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
|
Issue: June 2026
Volume 11 | Issue 6
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 121
Article Submitted : 24737
Article Published : 9361
Total Authors : 24875
Total Reviewer : 861
Total Countries : 169
Indexing Partner
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | AI-Driven Framework for Automated Question Paper Generation |
| Authors Name: | SAKTHI M , SUSEELA D , MOHANA PRIYA S , ROHITH JAYIN KRISHNA R |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_210366
|
| Published Paper Id: | IJRTI2605023 |
| Published In: | Volume 11 Issue 5, May-2026 |
| DOI: | |
| Abstract: | This project presents an innovative, privacy-centric AI platform designed to automate academic assessment and study material management. By transitioning from cloud-dependent models to a local-first architecture, the system utilizes the Ollama inference engine and a Vector Database (Qdrant) to ensure 100% data sovereignty. The platform intelligently extracts text from PDF and TXT files, applying a "Sliding Window" chunking strategy to generate contextually grounded short-answer, long-answer, and multiple-choice questions (MCQs) along with accurate model answers. Aligning with Bloom’s Taxonomy, the system ensures pedagogical rigor across multiple cognitive levels. Key features include a bilingual interface (English/Spanish), an interactive Online Test module for iterative practice, and hierarchical community forums for collaborative learning. By integrating React, Django, and RAG technologies, this framework significantly reduces educator workload while providing a secure, scalable, and automated solution for modern educational institutions. |
| Keywords: | Question Paper Generation, Natural Language Processing (NLP), Bloom’s Taxonomy, Automated Assessment, Short Answer Questions, Long Answer Questions, Multiple-Choice Questions (MCQs), Multilingual Education, Django, Educational Technology, E-Learning, Background Processing, Study Material Management, Online Testing, Intelligent Tutoring Systems, RAG, Community, Forum, Topics. |
| Cite Article: | "AI-Driven Framework for Automated Question Paper Generation", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 5, page no.a200-a205, May-2026, Available :http://www.ijrti.org/papers/IJRTI2605023.pdf |
| Downloads: | 000205555 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID: IJRTI2605023
Registration ID:210366
Published In: Volume 11 Issue 5, May-2026
DOI (Digital Object Identifier):
Page No: a200-a205 Country: Karur, Tamil Nadu, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2605023 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2605023 |
| Share Article: | |
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijrti.org
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | DOAJ : Directory of Open Access Journals |
| DRJI | Index Copernicus International | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
| Providing A digital object identifier by DOI.ONE How to Get DOI? |
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Join RMS/Earn 300
WhatsApp
Click Here
Click Here
Indexing Partner |
|||
| Copyright © 2026 - All Rights Reserved - IJRTI | |||