• Vaibhav Kisan Ingle
• Dhiraj Gunwantrao Wankhede
• Pooja Govindsingh Pawar
• Iffat Rehman

Reliable access to clean drinking water remains a fundamental health necessity, but standard water analysis techniques are often costly and lack frequency. This work proposes an innovative, low-cost solution that uses Internet of Things (IoT) technology to perform ongoing, real-time assessments of drinking water quality. Built with an ESP32 controller and various sensors targeting pH, turbidity, total dissolved solids, conductivity, and fluoride the device sends collected data to the Blynk cloud, where users can view results through a smartphone application. Field applications across different sources confirmed its capacity to recognize contamination risks. Fluoride concentration was measured using a color-based analytical process. With its lightweight and energy-saving design, this system enables frequent water testing at scale. It directly supports Sustainable Development Goal 6 by encouraging proactive and informed water quality management practices.

IoT water sensing, ESP32 application, Real-time analysis, Conductivity and TDS metrics, Fluoride sensing, Blynk integration, SDG 6

"An IoT Enabled Real Time Monitoring System for Potable Water Quality Assessment Using ESP32 and Multisensor Fusion", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 5, page no.i96-i102, May-2025, Available :http://www.jetir.org/papers/JETIR2505910.pdf

"An IoT Enabled Real Time Monitoring System for Potable Water Quality Assessment Using ESP32 and Multisensor Fusion", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 5, page no. ppi96-i102, May-2025, Available at : http://www.jetir.org/papers/JETIR2505910.pdf