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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM22872
Volume:
7 |
6 |
Jun 2023
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.
This research paper presents an intelligent file converter designed to provide enhanced format compatibility by employing adaptive conversion algorithms. The proposed file converter aims to address the challenges faced by users when converting files between different formats, such as ensuring data integrity, improving productivity, and enhancing the user experience. The converter utilizes intelligent algorithms, including machine learning techniques, to dynamically adapt the conversion process based on the specific input and output file formats. The research also discusses the implementation details, including the components, modules, and architecture of the intelligent file converter. A detailed evaluation methodology is presented, along with the results of extensive testing conducted on a diverse dataset. The findings demonstrate the effectiveness of the adaptive conversion algorithms in achieving accurate and efficient file conversions. The research concludes with insights into the future scope of file converters and potential advancements in the field.
KEYWORDS
Publication Date
5/5/2023
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.
Funding Information
No funding information available for this research.
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