Abstract: In a globalized world, effective communication across linguistic and cultural boundaries is critical yet challenging due to diverse languages, accents, and cultural nuances. The Multilingual Communication Assistant (MCA) is an innovative system designed to overcome these barriers by integrating real-time speech-to-speech translation, accent adaptation, context-aware translation, and cultural nuance understanding. Leveraging advanced technologies such as neural machine translation, deep learning, and speech synthesis, the MCA ensures accurate, natural, and culturally sensitive communication. This paper presents the design, development, and evaluation of the MCA, highlighting its architecture, methodologies, and potential applications in education, healthcare, business, and diplomacy. Preliminary results demonstrate high translation accuracy and user satisfaction, with future enhancements aimed at offline functionality and broader language support. The MCA promises to foster inclusive and meaningful cross-cultural interactions, redefining multilingual communication.
Keywords: Multilingual Communication, Real-Time Translation, Accent Adaptation, Cultural Nuances, Neural Machine Translation, Speech Synthesis
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DOI:
10.17148/IJARCCE.2025.145109
