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@article{204618,
        author = {Yashdeep Ajay Marne and Prathmesh Mohan Darade and Prathamesh Govind Bargal and Pavan Dilip Koli and Aryan Hanumant Mohol and Keerthi B Gurani},
        title = {SMART IOT FRAMEWORK FOR WATER INTELLIGENCE},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {1},
        pages = {3086-3092},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=204618},
        abstract = {Water scarcity, inefficient distribution, and lack of real-time monitoring are major challenges in modern water management systems. This paper proposes a Smart Internet of Things (IoT) framework for water intelligence that integrates sensor networks, data analytics, and cloud computing to enable efficient, sustainable, and intelligent water resource management. The framework utilizes distributed IoT sensors to continuously monitor key parameters such as pH, Turbidity, TDS (Total Dissolved Solids), and temperature.
The collected data is transmitted through Raspberry Pi to a centralized cloud platform, where advanced analytics and machine learning algorithms are applied to detect the water quality. The system provides actionable insights through user-friendly dashboards and automated alerts, enabling authorities and consumers to make informed decisions.},
        keywords = {pH sensor, Turbidity sensor, TDS sensor, Temperature sensor, Raspberry Pi.},
        month = {June},
        }