WEB LANGUAGE DETECTION USING MACHINE LEARNING

WEB LANGUAGE DETECTION USING MACHINE LEARNING

CH .Nihanth, CH. Jeevan Santhosh, CH. Jayashree, CH. Hemasree, Prof. Kiran Kumar

Malla Reddy University

Hyderabad

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.