Authors: Saisha Hiray, Manisha Shinde, Priti Choudhari, Samarth Palve, Rushi Bagul
Abstract: In this era of rapid globalization and technological advancement, the ability to communicate in multiple languages has become a crucial skill. Traditional language learning methods often lack the interactivity and personalization needed to fully engage learners. This project addresses this challenge by developing a multilingual language learning chatbot robot that combines both software and hardware to offer an innovative, interactive language learning experience. The system is built around a Raspberry Pi, connected to a microphone and speaker, enabling real-time voice interactions with the chatbot. Leveraging Natural Language Processing (NLP), the chatbot can understand and respond in multiple languages, making it suitable for learners at various levels. Speech recognition allows the system to accurately interpret user input, while speech synthesis enables the chatbot to respond naturally, creating a conversational environment that mimics real-world language use. As learners interact with the chatbot, they engage in simulated dialogues that enhance their ability to speak and understand the language in realistic contexts. The chatbot offers a dynamic learning experience by adapting to different languages, providing users with the flexibility to switch between languages and practice multiple linguistic skills within the same session. Powered by the Raspberry Pi platform, the system is portable, affordable, and easy to deploy in various educational settings, from classrooms to home use. This project represents an innovative approach to language learning, combining AI-driven software with accessible hardware to provide a scalable, interactive tool for multilingual education.
DOI: https://doi.org/10.5281/zenodo.17985349
