Personal AI Companion Voice Assistant

Authors

  • Keshava Gowtham NS Research Engineer, CIIRC, Jyothy Institute of Technology, Bangalore, INDIA
  • Deepak V Ingale Assistant Professor, CIIRC, Jyothy Institute of Technology, Bangalore, INDIA
  • Harshitha N Department of Electronics and Communication Engineering, Jyothy Institute of Technology, Bangalore, INDIA
  • Adithya S Department of Electronics and Communication Engineering, Jyothy Institute of Technology, Bangalore, INDIA
  • Nithish Rao H D Department of Electronics and Communication Engineering, Jyothy Institute of Technology, Bangalore, INDIA
  • V Venkatesh Department of Electronics and Communication Engineering, Jyothy Institute of Technology, Bangalore, INDIA

DOI:

https://doi.org/10.5281/zenodo.10909307

Keywords:

Personal AI Assistant, Voice Recognition, ESP32 Microcontroller Component, Internet of Things (IoT)

Abstract

This paper presents the design and implementation of a personal AI companion voice assistant leveraging the ESP32 microcontroller platform. The system incorporates advanced AI algorithms for natural language processing and voice recognition, enabling intuitive user interaction. Through seamless integration with smart devices, the assistant enhances user experience while prioritizing data privacy and security. The project contributes to the evolution of IoT technologies by offering a personalized and intelligent voice assistant solution.

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Published

2024-04-02
CITATION
DOI: 10.5281/zenodo.10909307
Published: 2024-04-02

How to Cite

Keshava Gowtham NS, Deepak V Ingale, Harshitha N, Adithya S, Nithish Rao H D, & V Venkatesh. (2024). Personal AI Companion Voice Assistant . International Journal of Engineering and Management Research, 14(2), 21–26. https://doi.org/10.5281/zenodo.10909307

Issue

Vol. 14 No. 2 (2024): April Issue

Section

Articles

License

Copyright (c) 2024 Keshava Gowtham NS, Deepak Ingale, Harshitha N, Adithya S, Nithish Rao H D , V Venkatesh

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Research Articles in 'International Journal of Engineering and Management Research' are Open Access articles published under the Creative Commons CC BY License Creative Commons Attribution 4.0 International License http://creativecommons.org/licenses/by/4.0/. This license allows you to share – copy and redistribute the material in any medium or format. Adapt – remix, transform, and build upon the material for any purpose, even commercially.

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