This paper presents the design and implementation of an Internet of Things (IoT)-based smart home model that integrates voice control and environment-based automation. The proposed system uses an ESP32 microcontroller as the main IoT communication module and an Arduino Mega 2560 for local hardware control. Several sensors and modules, including a DHT22 temperature-humidity sensor, MQ-4 gas sensor, rain sensor, and RFID authentication module, are integrated to support environmental monitoring, safety detection, and automated device operation. The system communicates with the E-Ra IoT platform to provide real-time monitoring and remote control through a web-based interface, while voice commands are implemented using Google Assistant. A physical prototype was developed and tested under normal operating conditions. Experimental results show that the system operates reliably and responds quickly to control commands, with an average response time of less than 1 second for basic device operations. The proposed model demonstrates the feasibility of building a low-cost and flexible smart home system suitable for research, educational applications, and small-scale residential environments.

This paper presents the design, implementation, and empirical evaluation of a sophisticated automated alcohol distillation system. The system integrates modern control theory with Internet of Things (IoT) technology to overcome the limitations of traditional manual distillation, which often suffers from inconsistent product quality, high labor dependency, and significant safety risks. The core of the system employs a REX-C100 PID temperature controller for precise thermal regulation, an ESP8266 microcontroller for IoT connectivity, and an array of sensors including a K-type thermocouple and an MQ-3 alcohol concentration sensor for comprehensive process monitoring and safety. A detailed mathematical model of the distillation process and an enhanced PID control algorithm with feedforward compensation are provided. Experimental results demonstrate a 50% reduction in processing time, an increase in process efficiency from 60% to 90%, and a remarkable improvement in product quality consistency from 70% to 95%, all while maintaining a temperature control accuracy of ±1°C. The system successfully enables remote monitoring and control via the Blynk IoT platform, establishing a robust framework for intelligent, safe, and efficient distillation applicable to both small-scale and industrial production

In this article, the primary purpose is to design and implement a remote light control example that makes use of the Arduino IDE platform for programming, the MQTT protocol, and an ESP32 microcontroller, which has a dual-core CPU as well as Wi-Fi and Bluetooth capabilities. This aspect is related to the Internet of Things (IoT), which allows any fundamental device to be linked and become a smart device via the application of the Internet. As a result, these devices can be operated from a significantly long-distance, eliminating the need to physically interact with the switches to turn them on or off. The first part of the paper is a discussion of the fundamental theory that is provided to examine the potential of remote control methods, followed by a short overview of the Arduino integrated development environment (IDE), MQTT communication protocol, and PWM technique to regulate the brightness of lights. The second section is devoted to hands-on work, such as setting up an environment connection over the Internet, compiling and designing a printed circuit board (PCB).