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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM22872

Formatflix-A format store

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM22872

Volume:

7 |

6 |

Jun 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

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.

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Authors

Kk

K.Satish kumar

A

A.Sathvika

P

P.Sejal

R

R.Shailaj

AP

A.Shanthi Priya

RR

R.Sharanya Reddy

TK

Thayyaba Khatoon

ST

Sai Teja

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Abstract

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

file converter format compatibility adaptive conversion algorithms data integrity productivity user experience intelligent algorithms machine learning evaluation methodology future scope.

Cite This Article

K.Satish kumar, A.Sathvika, P.Sejal, R.Shailaj, A.Shanthi Priya, R.Sharanya Reddy, Thayyaba Khatoon, Sai Teja, "Formatflix-A format store," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 6, Jun 2023. https://doi.org/10.55041/IJSREM22872

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Publication Date

5/5/2023

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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0

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4

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5

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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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