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{203316,
author = {Govinda Tapadia and Jayesh soni and Kalash Soni and Krishna Ingle and Karan Rathore and Kavita Namdev},
title = {Jarvis: A Voice Controlled Personal Assistant},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {12},
number = {12},
pages = {10815-10820},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=203316},
abstract = {The rapid advancement of artificial intelligence and natural language processing has significantly improved human-computer interaction. This paper presents Jarvis, an intelligent voice-activated personal assistant that enables users to perform everyday tasks such as launching applications, answering queries, browsing the web, and drafting emails using natural voice commands. The system integrates speech recognition, command processing using Python, text-to-speech synthesis, and AI-based response generation. Unlike conventional voice assistants that rely heavily on cloud services, Jarvis is designed with minimal internet dependency by executing most operations locally, enhancing privacy and reducing latency. The modular architecture of the system ensures flexibility, scalability, and ease of customization. Experimental results demonstrate that Jarvis provides accurate command execution and fast response times under normal conditions.},
keywords = {Voice Assistant, Speech Recognition, Text-to-Speech, Natural Language Processing, Artificial Intelligence, Command Processing, Task Automation, Human-Computer Interaction, Python, React js.},
month = {May},
}
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