EduVoice: A Multilingual AI Voice Assistant for Young Learners

Authors

  • Suraj R. Nalawade Professor, Department of Artificial Intelligence and Data Science Engineering, YSPM's Yashoda Technical Campus, Satara, Maharashtra, India
  • Saurabh Popat Patil Undergraduate Scholar, Department of Artificial Intelligence and Data Science Engineering, YSPM's Yashoda Technical Campus, Satara, Maharashtra, India

Keywords:

CVI (Capturing Voice Input), GAI (Generative Artificial Intelligence), GTTS (Google Text To Speech), GUI (Graphical User Interface), TTS (Text To Speech)

Abstract

This project introduces Study Buddy, a desktop-based multilingual voice assistant developed to assist 4th standard students of the Maharashtra State Board in their academic journey. The system supports both English and Marathi, ensuring inclusive access for learners from diverse language backgrounds. Utilizing speech recognition, natural language processing, and Google’s Gemini AI, the assistant provides clear, age-appropriate responses aligned with the official syllabus. Its voice-based interaction promotes engagement and simplifies learning for young users.

A notable feature of the assistant is its automatic language detection, which enables seamless switching between English and Marathi without manual input. The assistant responds using a dual text-to-speech system, making the learning experience smooth and bilingual. A simple, child-friendly graphical interface built with Tkinter enhances usability. By addressing barriers such as limited individual support and language accessibility, Study Buddy empowers students to explore academic content independently, Making learning more interactive, personalized, and effective.

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Published

2025-08-20