Dragoman AI: Real-Time Speech Translation for Educational

Author(s)	Sika K, Chandru J, Madhappan G, Vikram M
Country	India
Abstract	This paper presents Dragoman AI, a real-time speech-to-speech translation system designed to enhance educational accessibility for non-English-speaking students in India. The system integrates a Raspberry Pi microcontroller, Google Speech-to-Text, Google Translate, and gTTS APIs to capture spoken input in regional languages (e.g., Tamil, Telugu, Hindi), translate it into English, and synthesize audible English output. A 1.8-inch ST7735 TFT display provides visual feedback of translated text, improving comprehension in classroom settings. The hardware setup includes a USB microphone, earphones, and a portable casing, ensuring affordability and ease of use. By addressing language barriers, Dragoman AI promotes inclusivity, enabling students to participate actively in English-medium instruction. The paper discusses the system’s architecture, implementation, performance evaluation, and potential impact on educational equity, with future enhancements focusing on offline functionality and additional language support.
Keywords	Raspberry Pi, Speech-to-Speech Translation, Google APIs, Educational Accessibility, RealTime Translation.
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 16, Issue 2, April-June 2025
Published On	2025-05-21
DOI	https://doi.org/10.71097/IJSAT.v16.i2.5366
Short DOI	https://doi.org/g9mq8q

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