The IoT Power Factor Monitor is an Internet of Things (IoT) project that combines Power sensing and Anomaly detection, built with ESP32 / Arduino. The project follows a clean, modular pipeline where sensor data acquisition, connectivity, and presentation stay separated, making it easy to test, extend, and present. It showcases practical IoT techniques while producing a working, demo-ready system.
Manual monitoring and control for this task is slow, inconvenient, and cannot be done from anywhere. Without an IoT approach built on Anomaly detection and ESP32 / Arduino, users cannot connect real-world devices to the internet and manage them efficiently in real time.
This project applies IoT techniques through Power sensing, orchestrated with ESP32 / Arduino and Anomaly detection. The system is designed for connectivity and reliability, with sensing, networking, and clear evaluation. It produces consistent, reusable results and can be adapted to related connected applications with minimal changes.
ESP32 / Arduino
Voltage sensor
ESP32 / Arduino / Raspberry Pi
MQTT / HTTP
Cloud dashboard
Sensors and actuators
Current sensor (CT)
Modular IoT pipeline around Power sensing and Anomaly detection
Configurable sensor and control settings
Real-time data collection and monitoring
Clear alerts, logging, and error handling
Reusable components for related connected systems
Remote access and control
The project is layered: the sensing layer acquires data through Power sensing; the connectivity layer publishes and processes it with ESP32 / Arduino and Anomaly detection; and the output layer monitors and controls via Billing module. Shared connectivity, alerting, and dashboard modules support all layers, keeping the system robust and easy to extend.
Set up the hardware, sensors, and development environment.
Build the sensor data acquisition layer with Power sensing.
Implement connectivity and processing using ESP32 / Arduino and Anomaly detection.
Add the dashboard and control layer via Billing module.
Wire up end-to-end flows and add error handling and retries.
Test with real data, tune settings, and refine the system.
Package the project, document it, and prepare the demo and viva report.
Build production-style IoT applications
Apply Remote utility control and Measuring power usage
Connect and control IoT hardware
Publish and consume sensor data
Present and defend a complete IoT project in viva
Add edge analytics for faster decisions
Add more sensors and cloud services
Add mobile app control
Deploy on scalable cloud infrastructure
The IoT Power Factor Monitor delivers a complete Internet of Things workflow — from sensor data acquisition and connectivity to monitoring and control. It is practical, modern, and easy to explain, making it an excellent final year project that demonstrates in-demand IoT skills.
