This paper introduces a cost-effective and scalable IoT-based electricity monitoring device designed for actual-time monitoring of key electrical parameters, including voltage, current, and power consumption. The machine employs an ESP32 microcontroller using low-cost sensors such as the ZMPT101B voltage sensor and SCT-013 current sensor to ensure green information acquisition and processing. Unlike conventional monitoring solutions that often require complex infrastructures, this machine leverages the Blynk IoT platform to offer seamless real-time visualization through a consumer-friendly cellular dashboard. Experimental validation changed into performed underneath diverse load situations, along with resistive and inductive hundreds, to evaluate dimension accuracy, response time, and average device reliability. Results indicate that, despite minor calibration challenges and community limitations, the proposed answer gives quality accuracy and real-time facts updates. Performance comparisons with conventional tracking structures highlight the benefits of price discount, ease of deployment, and greater accessibility. Additionally, this study explores potential system enhancements, such as integrating edge computing for nearby statistics processing and AI-pushed fault detection to enhance predictive maintenance. The findings underscore the viability of low-fee IoT answers in modern electricity management applications, specially for residential and small business environments.