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@article{177189,
        author = {Giriprasath V and Arjun V and Dharshan S and Dr. Parimala V},
        title = {An IoT-Based Voice-Controlled System for Efficient Energy Monitoring},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {587-593},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=177189},
        abstract = {The proposed system describes the voice assistanted Energy Monitoring and Control the devices using Sinric Pro platform and ESP32.  This project improves user accessibility and convenience by controlling appliances like fans and lights with both voice commands and manual touch switches.  For device switching, it uses relay-based actuation. It also uses the Sinric Pro cloud service to provide remote operation and status synchronization. To monitor in real time, the system uses the ZMPT101B sensor to detect voltage and the ACS712 sensor to measure current.  On the Blynk mobile application, these figures are utilized to calculate energy and power consumption in kWh, which are updated continuously.  EEPROM memory is used to store the energy data, guaranteeing consistency even after power resets and providing accurate tracking of electricity consumption. Both intelligent appliance control and effective energy management are benefits of this technology.  Using cloud-based services and the ESP32 microcontroller, the system guarantees scalability and smooth connectivity.  The design is extremely advantageous for home automation and energy optimization in residential settings since it incorporates power analytics through sensor interfaces and Blynk-based visualization.},
        keywords = {Voice-Controlled Automation, IoT Energy Management, ESP32 Microcontroller, Sinric Pro Integration},
        month = {May},
        }