International Journal on Science and Technology

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Design and Implementation of an Offline Voice Controlled Home Assistant

Author(s) Dr. Oluwabukola Ajayi, Mr. Oyiana Jeremiah, Dr. Izang Aaron, Mr. Ufomaduh Rodrick, Dr. Eweoya Ibukun, Ms. Anyaehie Amarachi, Mr. Solanke Oluwole, Mr. Taiwo Samuel
Country Nigeria
Abstract In recent years, voice-controlled home automation has significantly transformed how individuals interact with their living spaces. However, mainstream solutions such as Amazon Alexa, Google Assistant, and Apple Siri rely heavily on cloud-based processing, which introduces serious concerns regarding data privacy, latency, and dependence on constant internet connectivity. This project introduces Home Guardian, an offline-capable voice-controlled home assistant designed to operate entirely without internet access. Utilizing a microcontroller-based system architecture combined with local voice recognition through the AI Thinker VC-02 module, Home Guardian allows users to control various smart home devices—such as lights, smart sockets, and door locks—and play offline music via direct voice commands or a mobile application developed using Kodular. The system communicates over a local Wi-Fi network, enabling real-time, secure interaction between the app and the central unit, even in areas with poor or no internet service. Initial testing shows that localized voice processing improves response speed, enhances privacy, and reduces overall system costs. By eliminating the need for cloud servers, this research presents a privacy-focused, cost-efficient, and adaptable alternative to commercial voice assistants, especially suitable for resource-constrained or privacy-sensitive environments.
Keywords Offline Home Assistant, Local Voice Control, ESP32, AI Thinker VC-02, Smart Home IoT, Kodular App, LAN Communication, Privacy-Centric Automation.
Field Computer Applications
Published In Volume 16, Issue 4, October-December 2025
Published On 2025-10-09
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