Abstract :

Paper Evaluation Using Artificial Intelligence (AI) Is An Innovative Approach That Automates The Assessment Of Academic Papers, Answer Scripts, And Research Documents With Improved Accuracy And Efficiency. Traditional Evaluation Methods Are Time-consuming And May Involve Human Errors Or Bias, Whereas AI-based Systems Use Machine Learning, Natural Language Processing (NLP), And Deep Learning Techniques To Analyze Grammar, Content Relevance, Semantic Meaning, Plagiarism, And Writing Quality. The System Can Automatically Assign Scores Based On Predefined Criteria And Provide Instant Feedback, Reducing Manual Workload And Speeding Up The Evaluation Process. Additionally, AI-driven Evaluation Systems Continuously Improve Through Training And Data Analysis, Making Them More Reliable And Adaptive Over Time. This Technology Is Highly Beneficial For Educational Institutions, Online Examinations, Research Assessments, And Recruitment Processes, As It Ensures Fair, Scalable, Transparent, And Consistent Evaluation While Enhancing The Overall Quality Of Learning And Assessment Systems.

Published:

04-6-2026

Issue:

Vol. 26 No. 6 (2026)

Page Nos:

102-106

Section:

Articles

License:

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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