This paper explores the hardware, software architecture, and functional capabilities of the system, emphasizing its role in promoting sustainable energy practices and its potential applications in smart grid management, industrial automation, and renewable energy . This paper explores the hardware, software architecture, and functional capabilities of the system, emphasizing its role in promoting sustainable energy practices and its potential applications in smart grid management, industrial automation, and renewable energy . In response, the rapid expansion of Internet of Things (IoT) devices offers a promising and innovative solution due to their adaptability, low power consumption, and transformative potential in energy management. This study describes a novel, integrative strategy that integrates IoT and Artificial. A structured process for IoT systems with accuracy and interconnected development would support reducing power consumption and support grid stability. This study presents the feasibility of this proposal through the application of each aspect of the framework. Utilizing an Arduino UNO as the core controller, the system integrates an energy meter, optocoupler, ESP8266 Wi-Fi module. Internet of Things (IoT) present an efficient and co-effective to transfer the information of energy consumer wirelessly as well as it provides to detect the usage of the electricity the main intention of this project is measure electricity consumption in home appliances and generate it's bill. Real-time energy monitoring. (battery or power operated with wireless connectivity) Analytics & Machine learning included. Advance alerts with remote monitoring – with Biz4Intellia platform Compatible with most devices (no need to change your existing installation) Mobile App & Web platform for the. ABSTRACT: The popularity of IoT-based applications is increasing rapidly, offering effective solutions for various real-time problems.