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ML Report 29 30final by siddhantkapoor125 is a document available to read on EtoBox.

This report details the development of a machine learning-based system for automatic language identification and translation, addressing the need for integrated multilingual processing. The system utilizes a hybrid feature extraction approach combining word-level and character-level TF-IDF representations, achieving high accuracy in language detection and seamless translation using the GoogleTranslator API. Future work includes enhancing model accuracy with deep learning, improving translation quality evalu

Author
siddhantkapoor125
Language
EN