Translingo: AI Powered Multilingual Translator

Author(s)	V.Ashok Gajapathi Raju, Jami Jasmitha, Vajja Satwika, Gangi Vineela, Kanchari Uday Vinay Maharana
Country	India
Abstract	In an increasingly more globalized global, seamless conversation across language limitations is crucial. The undertaking affords specific Lingo, an AI video voice translation platform leveraging automatic Speech recognition (ASR), Neural device Translation (NMT), and text-to-Speech (TTS) technology. not like traditional translation structures, explicit Lingo presents actual-time, context-aware, and adaptive translations, making it notably appropriate for industries. the integration of transformer-based models complements contextual knowledge, while its patentable layout gives substantial commercialization capacity. Translingo is constructed with a modular architecture that supports a couple of languages and permits for non-stop gaining knowledge of, ensuring stepped forward translation accuracy over time. furthermore, the platform contains noise reduction algorithms and accessory normalization strategies to decorate speech recognition accuracy.
Keywords	Automatic Speech Recognition (ASR), Neural Machine Translation (NMT), Text-to-Speech (TTS), Multilingual Translation, AI Localization, Real-Time Voice Translation, Video Accessibility, Natural Language Processing (NLP).
Field	Engineering
Published In	Volume 16, Issue 2, April-June 2025
Published On	2025-04-24
DOI	https://doi.org/10.71097/IJSAT.v16.i2.3845

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International Journal on Science and Technology