International Journal on Science and Technology

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Enhancing User Autonomy and Privacy: An Offline Virtual Voice Assistant with Multilingual Support and System Automation

Author(s) Mr. Mallik Gowda M, Mr. Kiran A, Mr. Vagalla Yoganjul Reddy, Mr. Varun Kumar K S, Dr. Sheethal Aji Mani
Country India
Abstract Virtual voice assistants have become an integral part of human–computer interaction; however, most commercially available assistants depend on cloud-based processing, raising privacy concerns and limiting user control. This study proposes a privacy-focused offline virtual voice assistant designed to operate entirely on local hardware while providing multilingual communication, real-time feedback, and operating system-level automation. The system integrates Python-based speech recognition, natural language processing, system control modules, browser automation, and a React-based interface synchronized using Socket.IO. Unlike cloud assistants such as Google Assistant, Alexa, and Siri, the proposed model performs all computations locally, ensuring complete data confidentiality and low latency. The experimental results show high accuracy in speech recognition, strong task execution performance, and robust multilingual support across English, Hindi, and Kannada. This study contributes an accessible, secure, and modular framework for developing next-generation offline voice assistants capable of enhancing user autonomy without compromising privacy
Keywords Offline Voice Assistant, Speech Recognition, Natural Language Processing, Privacy Preservation, Multilingual AI, System Automation
Field Engineering
Published In Volume 16, Issue 4, October-December 2025
Published On 2025-12-07
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