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@article{176554,
        author = {Shubham Anand and Basavaraj and Kishan Raj Dev Shukla and Mrs. Roopa H L},
        title = {A Smart IoT-Based Water Pollution Monitoring and Alert System for Industrial Waste Management},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {5701-5704},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=176554},
        abstract = {The increasing contamination of water due to untreated industrial effluents poses a significant threat to ecosystems and human health. Traditional monitoring methods are slow, labor-intensive, and often reactive. This project presents a real-time IoT-based system designed to continuously monitor water pollution parameters such as Total Dissolved Solids (TDS), turbidity, and temperature. The system uses an ESP32 microcontroller connected to sensors, which gather environmental data and send it to the Blynk platform. Alerts are also issued through Telegram messaging when pollution levels exceed predefined safety thresholds. This cost-effective, scalable model offers a practical solution for industries and environmental agencies looking to improve pollution control and water resource management. Moreover, the use of cloud integration ensures that the data is accessible remotely and can support early intervention strategies to prevent irreversible damage to aquatic ecosystems.},
        keywords = {Water Pollution, IoT, ESP32, Blynk, Telegram, TDS, Turbidity, Real-Time Monitoring, Smart Environment, Industry Waste, Remote Sensing, Automation},
        month = {April},
        }