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@article{184538,
        author = {Devi Chithra S and S. Maria Sobana and M. Divyadharshini and P.Mahavidyaa and S. Divya Lakshmi},
        title = {BlazeIQ - Intelligent Fire Prediction with Solar-Powered IoT Sensors},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {4},
        pages = {1948-1952},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=184538},
        abstract = {BlazeIQ is an innovative fire hazard prediction and early warning system tailored for hazardous working environments within the MSME sector. By integrating IoT-based ATEX certified sensors, real-time environmental monitoring, and advanced artificial intelligence, BlazeIQ can predict potential fire hazards well before ignition occurs. This proactive approach allows for immediate intervention and evacuation, significantly enhancing safety. The system operates on solar power, ensuring continuous functionality even during electrical outages. It features visual and audio alert systems designed for production areas where mobile devices are restricted, while SMS alerts are sent to supervisors or owners stationed outside hazardous zones to facilitate rapid decision-making. By analyzing trends in gas, temperature, and humidity levels through a trained AI model, BlazeIQ provides timely fire risk alerts. This system represents a significant advancement over traditional smoke-based alarm systems, aiming to reduce fatalities, prevent injuries, and protect assets in industries that handle flammable materials. Furthermore, it aligns with sustainable technology integration by utilizing solar energy, ensuring that safety is never compromised due to power shortages. The adaptability of BlazeIQ to various hazardous MSME operations makes it an essential asset for modern industrial safety management.},
        keywords = {ATmosphères Explosible, Edge AI, Fire Prediction, Solar Powered Sensors.},
        month = {October},
        }