Real-Time Language Translation Using IoT Technology

This research addresses the challenge of real-time interlinguistic communication with the aid of an IoT-based language translation system. Herein, a Web of Things device-a Raspberry Pi centrality-is brought out to convert and interpret a spoken language into the target dialect. The integration will be done from speech recognition services and translation services onto the hardware elements. Key findings show that the system is able to translate spoken words with 86% accuracy in 30 languages, thereby helping improve intercultural communication and collaboration.