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@article{193235,
        author = {Gaurav Prakash Deshmukh and Eshan Sanjay Yadav and Saurabh Shantaram Gaikwad and Kiran Gore},
        title = {Automatic Controlling against water pump overheating and failure using ML and IoT},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {9},
        pages = {4286-4290},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=193235},
        abstract = {The project focuses on the development of a smart monitoring and control system for water pumps using Internet of Things (IoT) sensors and Machine Learning (ML) models. The system incorporates real-time data collection through sensors measuring temperature, voltage, and water level to assess the operational health of the pump. Convolutional ML algorithms analyze sensor data to predict potential faults, particularly overheating and abnormal voltage or water levels. A relay module is integrated to automatically shut down the pump when critical thresholds are exceeded, preventing hardware damage and operational failures. The system also generates instant alerts to notify users of anomalies. This technology aims to optimize pump efficiency, reduce maintenance costs, and prevent unexpected breakdowns, thus contributing to the reliability of water management infrastructure. Optionally, the system can be integrated with an intelligent contact center for remote monitoring and support.},
        keywords = {Water Pump Monitoring, IoT, Machine Learning, Sensor Data, Fault Detection, Smart Control System Domain(S): IoT, Embedded Systems, Machine Learning, Smart Agriculture},
        month = {February},
        }