Voice-Controlled Smart Home Automation Using Raspberry Pi And IoT

This project presents the design and implementation of a smart home automation system using a Raspberry Pi 3 Model B+ to enhance comfort, safety, and energy efficiency. The system enables both manual and automatic control of home appliances, particularly lighting, through physical switches and a custom-developed mobile application. Communication between the Raspberry Pi and the mobile device is achieved over a local Wi-Fi network using the Raspberry Pi’s IP address. Automatic operation is supported using an LDR sensor to control lighting based on ambient light conditions, while voice commands provide hands-free control through the mobile application. Additionally, an MQ-2 gas sensor is integrated to detect gas leakage and trigger a buzzer alert to improve household safety. The entire system is programmed in Python and executed using the Thonny IDE. Experimental results demonstrate reliable real-time control, responsiveness, and effective gas leak detection, making the system a cost-effective and scalable solution for smart home applications.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-01-30
DOI
https://doi.org/10.5281/zenodo.18427902
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
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article

Voice-Controlled Smart Home Automation Using Raspberry Pi And IoT

Bhuvaneshwari M, Dharani Sivapriya S, Seetharaman R
Zenodo (CERN European Organization for Nuclear Research)
IoT-based Smart Home Systems
article

Voice-Controlled Smart Home Automation Using Raspberry Pi And IoT

Bhuvaneshwari M, Dharani Sivapriya S, Seetharaman R
article en

Abstract

This project presents the design and implementation of a smart home automation system using a Raspberry Pi 3 Model B+ to enhance comfort, safety, and energy efficiency. The system enables both manual and automatic control of home appliances, particularly lighting, through physical switches and a custom-developed mobile application. Communication between the Raspberry Pi and the mobile device is achieved over a local Wi-Fi network using the Raspberry Pi’s IP address. Automatic operation is supported using an LDR sensor to control lighting based on ambient light conditions, while voice commands provide hands-free control through the mobile application. Additionally, an MQ-2 gas sensor is integrated to detect gas leakage and trigger a buzzer alert to improve household safety. The entire system is programmed in Python and executed using the Thonny IDE. Experimental results demonstrate reliable real-time control, responsiveness, and effective gas leak detection, making the system a cost-effective and scalable solution for smart home applications.

Zenodo (CERN European Organization for Nuclear Research)
Affordable and clean energy
Openalex Percentile: Top 71%
IoT-based Smart Home Systems
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Voice-Controlled Smart Home Automation Using Raspberry Pi And IoT — Bhuvaneshwari M, Dharani Sivapriya S, et al. · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS