UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 10 | October 2025

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Published in:

Volume 12 Issue 5
May-2025
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2505462


Registration ID:
560059

Page Number

d973-d980

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Title

Centralized Examination Information System Using Artificial Intelligence for Unified Access and Smart Insights

Abstract

Abstract : In an era of rapid digitization and data overload, students, educators, and institutions face significant challenges in accessing accurate, timely, and relevant examination-related information. This research proposes the development of a Centralized Examination Information System (CEIS) powered by Artificial Intelligence (AI), designed to unify fragmented exam data across various platforms into a single, intelligent portal. The system leverages machine learning algorithms and natural language processing to aggregate, categorize, and personalize examination content, schedules, syllabi, eligibility criteria, and preparation resources from diverse educational bodies. Key features include dynamic content updates, AI-driven recommendation engines, and a user-centric interface that adapts to user profiles, preferences, and academic goals. The proposed system not only simplifies access to crucial examination information but also delivers smart insights such as deadline alerts, trend analysis, and personalized preparation paths based on user behavior and historical data. This paper outlines the system’s architecture, AI components, data integration methods, and user interface design. It also evaluates potential impacts on student preparedness, administrative efficiency, and digital inclusion. By centralizing and intelligently managing examination data, CEIS aims to reduce information asymmetry, enhance decision-making, and democratize access to academic opportunities. The findings demonstrate the system’s potential to transform the examination landscape through automation, accuracy, and adaptive learning.

Key Words

Artificial Intelligence (AI), Exam Information System, Centralized Data Management, Machine Learning, Natural Language Processing (NLP), Information Aggregation, Unified Access Platform.

Cite This Article

"Centralized Examination Information System Using Artificial Intelligence for Unified Access and Smart Insights", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 5, page no.d973-d980, May-2025, Available :http://www.jetir.org/papers/JETIR2505462.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Centralized Examination Information System Using Artificial Intelligence for Unified Access and Smart Insights", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 5, page no. ppd973-d980, May-2025, Available at : http://www.jetir.org/papers/JETIR2505462.pdf

Publication Details

Published Paper ID: JETIR2505462
Registration ID: 560059
Published In: Volume 12 | Issue 5 | Year May-2025
DOI (Digital Object Identifier):
Page No: d973-d980
Country: Jalgaon, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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