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@article{201423,
        author = {Dr. M. Manjusha and Alen Vijay B P and Sutheesh K and Libin Lijo L S},
        title = {AI-Based Intelligent Smart Water Quality Monitoring System with Disease Prediction},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {no},
        pages = {126-133},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=201423},
        abstract = {Access to safe drinking water is essential for maintaining public health, yet water contamination remains a major concern in many regions. Continuous monitoring of water quality is necessary to prevent health issues caused by long-term consumption of contaminated water. This project presents an AI-Based Intelligent Smart Water Quality Monitoring System with Disease Prediction, which combines Internet of Things (IoT) technology and artificial intelligence to monitor and analyze water quality in real time. The proposed system uses sensors such as Total Dissolved Solids (TDS), pH, and temperature sensors to measure key water quality parameters. These sensors are connected to an ESP32 microcontroller, which collects the data and transmits it to a cloud platform through Wi-Fi connectivity. The collected data is then analyzed using an AI model (GPT-4o Mini) to identify abnormal conditions and predict potential health risks associated with long-term consumption of poor-quality water. The system also includes an Android mobile application developed using Android Studio (Java), which allows users to monitor water quality parameters in real time, receive alerts, and view predictive health insights. Additionally, a relay mechanism can be used to automatically control a water purification system when unsafe conditions are detected. The proposed solution provides a cost-effective, automated, and scalable approach for water quality monitoring, helping individuals and communities ensure safe drinking water while promoting preventive healthcare through intelligent monitoring and predictive analysis.},
        keywords = {.},
        month = {May},
        }