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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM56022
Volume:
10 |
1 |
Jan 2026
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The aviation industry generates vast volumes of digital records — maintenance logs, flight data, compliance documents, inspection reports, and operational records. Traditional manual handling of these records is labor-intensive, error-prone, and costly. This paper explores how Artificial Intelligence (AI) and Machine Learning (ML) can be applied to automate the management of aviation digital records, improving reliability, accuracy, searchability, compliance, and operational efficiency. We present use cases, architectural design, implementation strategies, benefits, challenges, and future directions.
KEYWORDS
Publication Date
1/13/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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