Deeplang: real-time language translation of Indian languages to English
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Date
2025
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Publisher
NHCE
Abstract
For individuals around the world, especially those living in multilingual societies or engaging in global communication, overcoming language barriers remains a significant challenge. According to Ethnologue, there are over 7,000 languages spoken worldwide, making effective and seamless communication across diverse linguistic groups a persistent difficulty. Language barriers not only impede access to education, healthcare, and employment opportunities but also hinder cultural exchange and understanding. Traditional solutions, such as bilingual dictionaries or human interpreters, have long served as essential tools for bridging these gaps. However, these methods come with inherent limitations. For example, physical dictionaries and phrasebooks are cumbersome and time-consuming, while human interpreters, though invaluable, are often expensive, inaccessible, and impractical for real-time communication in everyday scenarios.
These limitations highlight the pressing need for innovative, technologically advanced solutions to break down language barriers and foster seamless communication. Recent advancements in artificial intelligence (AI), particularly in natural language processing (NLP) and deep learning, combined with the proliferation of Internet of Things (IoT) devices, have opened up unprecedented opportunities to address these challenges. This project introduces the "Real-Time Language Translation System," a cutting-edge assistive technology that leverages state-of-the-art deep learning models and IoT integration to facilitate accurate, real-time translation across multiple languages. The primary objective of the system is to empower users with instant, context-aware translations, enabling them to navigate linguistic diversity with confidence and ease.