Jarvis: Voice-driven AI with Facial Authentication

Authors

  • Anuja Desai Jadhav
  • Arundhati Gadekar
  • Awantika Karpe
  • Karan Gite
  • Suraj Patil

Keywords:

Accessibility, ChatGPT API substitute, Face authentication, Jarvis Voice Driven AI with Facial Authentication, Multitasking, Productivity, Text-to-speech, Voice recognition, WhatsApp automation

Abstract

This study introduces Jarvis, a voice-driven AI with facial authentication that uses voice commands to automate routine chores and provides a convenient, safe, and affordable option. With cutting-edge technologies like Text-To-Speech (TTS), WhatsApp automation, speech recognition, and ChatGPT API substitute for conversational AI, Jarvis gives consumers hands-free control over online interactions and apps. Additionally, by guaranteeing customized access, facial recognition is incorporated to improve security. The project’s goal is to produce a flexible assistant that boosts output, makes multitasking easier, and is reasonably priced in comparison to commercial voice assistants. In order to assess Jarvis’s potential to increase productivity on both personal and professional levels, this article examines its architecture, design, and execution.

Published

2025-02-04

How to Cite

Desai Jadhav, A., Gadekar, A., Karpe, A., Gite, K., & Patil, S. (2025). Jarvis: Voice-driven AI with Facial Authentication. Journal of Big Data Analytics and Business Intelligence, 2(1), 1–8. Retrieved from https://matjournals.net/engineering/index.php/JoBDABI/article/view/1381