International Journal of Engineering and Management Research
  • Year: 2024
  • Volume: 14
  • Issue: 2

Personal AI Companion Voice Assistant

  • Author:
  • NS Keshava Gowtham1, Deepak V Ingale2,*, N Harshitha3, S Adithya4, H D Nithish Rao5, V Venkatesh6
  • Total Page Count: 6
  • Page Number: 21 to 26

1Research Engineer, CIIRC, Jyothy Institute of Technology, Bangalore, India

2Assistant Professor, CIIRC, Jyothy Institute of Technology, Bangalore, India

3Department of Electronics and Communication Engineering, Jyothy Institute of Technology, Bangalore, India

4Department of Electronics and Communication Engineering, Jyothy Institute of Technology, Bangalore, India

5Department of Electronics and Communication Engineering, Jyothy Institute of Technology, Bangalore, India

6Department of Electronics and Communication Engineering, Jyothy Institute of Technology, Bangalore, India

*Corresponding Author: deepak.vi@ciirc.jyothyit.ac.in

Online Published on 25 June, 2024.

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.

Keywords

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