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The proliferation of the Internet of Things (IoT), embedded computing, and mobile technologies has reshaped residential automation, shifting it away from manually operated switches toward intelligent, remotely reachable ecosystems. This paper presents an extended design, implementation, and evaluation study of an IoT-based smart-home automation framework that unifies voice-driven interaction, a purpose-built Android application, and a dual-mode Bluetooth/Wi-Fi communication layer around a low-cost ESP32/Arduino Uno controller. Rather than depending entirely on continuous cloud connectivity, the proposed architecture keeps appliance control functional over a local Bluetooth link even when Internet access is unavailable, reserving Wi-Fi for extended-range and remote operation. Spoken instructions are converted to text through the Google Speech Recognition engine and matched against a locally stored command set before a relay-driven switching stage energizes the target appliance; a Passive Infrared (PIR) sensor concurrently performs unobtrusive intrusion monitoring and raises alerts through the same mobile interface. Beyond the original hardware prototype, this expanded study contributes a structured requirements analysis, a layered system architecture, algorithmic descriptions of the command-processing and security-monitoring pipelines, an indicative power and cost budget, a threat model with corresponding mitigations, and a systematic qualitative evaluation methodology. The resulting design is positioned as an accessible automation option for elderly occupants, individuals with mobility impairments, and cost-conscious residential deployments, and a concrete roadmap toward machine-learning-based personalization, cloud analytics, and biometric access control is outlined for future development.
Keywords:
Internet of Things (IoT), smart home automation, voice recognition, natural language command processing, Google Speech API, Android application, ESP32, Arduino Uno, Bluetooth, Wi-Fi, relay switching, PIR sensor, home security, assistive technology, edge computing.
Cite Article:
"IoT-Based Smart Home Automation System
Using Voice Recognition and Mobile
Application", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 7, page no.a231-a246, July-2026, Available :http://www.ijrti.org/papers/IJRTI2607024.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator