Real Time Translator with Added Features for Cross Language Communiciation
R. Lavanya, Avdhoot Kumar Gautam, Adarsh Anand · 2024
This study presents the development of a real- time translator enhanced with innovative features to improve user experience and expand functionality. The core translation engine employs state-of-the-art neural machine translation techniques, ensuring accurate and context-aware language conversion. Additionally, our system incorporates novel features such as listed the added features briefly, e.g., multi-modal translation, live transcription, language customization. These enhancements aim to address existing limitations in conventional translation tools and cater to diverse user needs. The system is designed to operate seamlessly across multiple platforms, providing users with a dynamic and adaptive language translation solution. Experimental results demonstrate [mention any performance improvements or unique aspects of your system]. The real-time translator with added features not only facilitates cross-language communication but also offers a versatile tool for various applications, including [mention potential applications or industries benefited by your system]. Overall, this work contributes to the advancement of language translation technology, opening new possibilities for effective and enriched global communication.