IoT-BASED REAL-TIME WATER QUALITY MONITORING AND PREDICTIVE ALERT SYSTEM USING ESP32

Authors

  • V. Sirisha Author
  • R. Sai Author
  • G. Yasodha Author
  • L. Vedapriya Author
  • P. Dhananjaya Author
  • T. Revanth Kumar Author

DOI:

https://doi.org/10.64751/

Keywords:

Internet of Things, ESP32, Water Quality Monitoring, Cloud Integration, Predictive Analysis, Smart Sensing System.

Abstract

Water quality monitoring is essential due to increasing contamination from industrialization and urbanization. This paper presents an IoT-based system using ESP32 to monitor parameters such as pH, TDS, turbidity, and temperature in real time. The system displays data locally on an LCD and transmits it to the cloud for remote monitoring. A prediction algorithm estimates the time to reach unsafe conditions, and alerts are generated when thresholds are exceeded. The system provides reliable real-time monitoring with predictive capability for smart water management.

Downloads

Published

25-03-26

Issue

Vol. 6 No. 1 (2026): Volume 6, Issue 1, 2026

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

How to Cite

V. Sirisha, R. Sai, G. Yasodha, L. Vedapriya, P. Dhananjaya, & T. Revanth Kumar. (2026). IoT-BASED REAL-TIME WATER QUALITY MONITORING AND PREDICTIVE ALERT SYSTEM USING ESP32. American Journal of AI Cyber Computing Management, 6(1), 340-346. https://doi.org/10.64751/