A. A. Muhammed

This project focuses on the design and construction of a smart electricity meter using Internet of Things (IoT) technology to enable efficient energy monitoring and management. The system is built around the ESP32 micro\controller, which controls data acquisition, processing, and wireless transmission to the ThingSpeak cloud platform. The PZEM-004T measurement module is employed to accurately measure voltage, current, power, and energy consumption in real time. A DC-DC buck converter provides a regulated power supply, ensuring stable operation of the ESP32 and peripheral components. Data collected by the meter are uploaded to ThingSpeak, where users can visualize live readings, generate graphical trends, and analyze consumption patterns through an interactive dashboard. This allows for remote monitoring, fault detection, and informed decision-making regarding energy usage. The prototype demonstrates reliable performance, high accuracy, and cost-effectiveness compared
to conventional meters. By integrating embedded systems with IoT-based cloud services, the developed smart meter promotes efficient power utilization, user awareness, and modern smartgrid compatibility. Overall, the project highlights a practical approach to advancing energy management through low-cost IoT solutions.

This project aims to develop an innovative voice-activated switching system that enhances home automation by enabling hands-free control of electrical appliances. Utilizing speech recognition technology and the Arduino Uno microcontroller, the system provides users with a seamless and accessible method of operating household devices through voice commands. The project is built around an Arduino Uno interfaced with a Speech Recognition Module Easy VR3 plus, a relay module, and a 5V converter module, all housed within a protective enclosure. The Speech Recognition Module captures and processes voice commands, which are then interpreted by the Arduino Uno. Based on the received command, the Arduino activates the relay module, which switches the connected electrical appliances on or off. The system is powered by a 12V dc battery, regulated to 5V using an L298D motor driver to ensure stable operation. The developed voice-activated switching system successfully demonstrated the capability to recognize and execute voice commands efficiently. The Speech Recognition Module accurately processed user input, and the Arduino Uno effectively translated the recognized commands into control signals for the relay module. The system exhib ited high response accuracy in quiet environments and maintained reliable performance under various conditions. Ultimately, this project achieved its goal of creating an affordable, user-friendly, and accessible voice-controlled home automation solution

This project aims to develop an innovative voice-activated switching system that enhances
home automation by enabling hands-free control of electrical appliances. Utilizing speech
recognition technology and the Arduino Uno microcontroller, the system provides users with
a seamless and accessible method of operating household devices through voice commands.
The project is built around an Arduino Uno interfaced with a Speech Recognition Module
Easy VR3 plus, a relay module, and a 5V converter module, all housed within a protective
enclosure. The Speech Recognition Module captures and processes voice commands, which
are then interpreted by the Arduino Uno. Based on the received command, the Arduino
activates the relay module, which switches the connected electrical appliances on or off. The
system is powered by a 12V dc battery, regulated to 5V using an L298D motor driver to
ensure stable operation.
The developed voice-activated switching system successfully demonstrated the capability to
recognize and execute voice commands efficiently. The Speech Recognition Module
accurately processed user input, and the Arduino Uno effectively translated the recognized
commands into control signals for the relay module. The system exhibited high response
accuracy in quiet environments and maintained reliable performance under various
conditions. Ultimately, this project achieved its goal of creating an affordable, user-friendly,
and accessible voice-controlled home automation solution.