Hossain , Md Golam SorwarImran, Mohammed ThusharISLAM, MD. TANVIR ALZAMAN, AZMERI MAISHANESSA, MUNIRUNMARGARET, NAFUNA2025-05-062025-05-0620242024-01ID 20221028ID 20221004ID 20321022ID 22321073http://hdl.handle.net/10361/25861Cataloged from PDF version of final year design project.Includes bibliographical references (pages 76-77).This final year design project is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering and Electronic and Communication Engineering, 2024."Faults in single-phase induction motors, commonly used in domestic and industrial applications, can lead to reduced efficiency, downtime, and increased maintenance costs. This project explores the development of an IoT-based system to detect and diagnose motor faults in real time. The system uses sensors to monitor critical parameters such as speed, voltage, current, vibration, and temperature the system provides intelligent analysis for fault detection. The proposed solution is scalable, cost-effective, enabling timely interventions and reducing operational disruptions. Additionally, it aligns with sustainable practices by improving energy efficiency and minimizing waste. This approach enhances motor reliability, extends equipment lifespan, and contributes to advancements in industrial automation and maintenance strategies. "121 pagesenBRAC University project reports are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.IoTFault detectionInduction motorsReal time monitoringEnergy efficiencyInternet of things.Project Report