Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{168963,
        author = {Lisha T P and Divya Shree Tala and Himashri A Masthi and Lalitha S},
        title = {Restaurant Voice Assistant Bot Using Python and  Raspberry Pi},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {6},
        pages = {694-699},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=168963},
        abstract = {This paper presents the development of a voice assistant bot for restaurants, utilizing Python and incorporating SpeechRecognition, subprocess, and gTTS modules. Deployed on a Raspberry Pi, the bot efficiently addresses customer queries, takes orders, and generates final bills, enhancing the overall din ing experience. By integrating advanced speech recognition and text-to-speech technologies, the bot provides an intuitive, hands free interface, improving both customer service and operational efficiency. The use of a cost-effective Raspberry Pi platform highlights the system’s practicality for widespread adoption in the hospitality industry. Detailed discussions on the software architecture, hardware integration, and performance metrics are included, showcasing the bot’s technical robustness and societal benefits in creating a more accessible and streamlined restaurant environment.},
        keywords = {speech-to-speech, Speech Recognition, Subprocess, Raspberry Pi, Restaurant Automation.},
        month = {November},
        }