Authors : Bhavani R.; Sudharsan P.; Vishwa M.; Shahul Hameed S.; Muthusivam P.

Volume/Issue : Volume 11 - 2026, Issue 4 - April

Google Scholar : https://tinyurl.com/3kv9zwbr

Scribd : https://tinyurl.com/ys34wujs

DOI : https://doi.org/10.38124/ijisrt/26apr676

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Abstract : Bank examinations require high accuracy, speed, and strong conceptual understanding in quantitative aptitude, reasoning ability, English language, and general awareness. Traditional mock examination systems provide static question banks and limited analytical feedback, which restrict adaptive learning and lacks personalized learning. This paper proposes an AI based mock examination system for bank exam preparation using agentic AI. The system integrates artificial intelligence techniques for dynamic question generation, automated evaluation, adaptive difficulty control, time management analysis, and personalized feedback delivery. The Large Language Model enhances contextual understanding and generates intelligent performance insights. Experimental analysis demonstrates improved learning efficiency, enhanced time optimization, and accurate readiness prediction. The proposed system transforms conventional mock testing into an intelligent adaptive preparation platform.

Keywords : Artificial Intelligence; Mock Examination; Bank Exam; Large Language Model; Adaptive Testing, Performance Analytics.

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