• Rakshita MB
• Rohith D Yadav
• Sinchana SS
• Siddharth Sharma
• Dr.Electa Alice Jayarani A

This study focuses on developing a water quality monitoring system using Internet of Things (IoT) and Artificial Intelligence (AI) to ensure the safety of drinking water and predict potential health risks. The system employs NodeMCU v3 ESP8266 , Arduino Uno integrated with sensors, including a temperature sensor, turbidity sensor, and TDS sensor, to measure key water quality parameters. Based on the sensor data, SMS alerts are sent to users indicating whether the water is safe or contaminated, along with the measured values. Additionally, AI algorithms analyze the sensor data to predict possible diseases associated with specific water quality parameters, enabling proactive health measures. This system aims to prevent waterborne diseases by combining real-time monitoring with predictive analytics

Water Quality, IoT, Artificial Intelligence, Arduino Uno, Disease Prediction, SMS Alert

"Water Quality Monitoring Using IoT and AI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 12, page no.e778-e784, December-2024, Available :http://www.jetir.org/papers/JETIR2412490.pdf

"Water Quality Monitoring Using IoT and AI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 12, page no. ppe778-e784, December-2024, Available at : http://www.jetir.org/papers/JETIR2412490.pdf