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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM27407

WEB LANGUAGE DETECTION USING MACHINE LEARNING

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM27407

Volume:

7 |

12 |

Dec 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

C.

CH .Nihanth

CJS

CH. Jeevan Santhosh

CJ

CH. Jayashree

CH

CH. Hemasree

PKK

Prof. Kiran Kumar

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Abstract

Web page language detection using machine learning and Flask is a pivotal application that combines the strengths of machine learning algorithms and the Flask web framework to automatically identify the language of web content. Machine learning models, trained on diverse multilingual text datasets, analyze linguistic and statistical features to predict the language of a given text. Flask, a lightweight Python web framework, simplifies the deployment of this language detection model as a web service. The integration of machine learning and Flask offers numerous advantages for web developers and content managers. Machine learning models excel in accurately identifying languages, even in the presence of multilingual or short text snippets, enhancing the user experience. Flask’s modularity and ease of use make it an ideal platform for integrating the language detection model into web applications and websites.

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Cite This Article

CH .Nihanth, CH. Jeevan Santhosh, CH. Jayashree, CH. Hemasree, Prof. Kiran Kumar, "WEB LANGUAGE DETECTION USING MACHINE LEARNING," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 12, Dec 2023. https://doi.org/10.55041/IJSREM27407

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Publication Date

12/28/2023

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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