Authors : Parvathi Jambaladinni; Prakash O. Sarangamath; Dr. Girish Kumar D.

Volume/Issue : Volume 11 - 2026, Issue 4 - April

Google Scholar : https://tinyurl.com/46mdas4p

Scribd : https://tinyurl.com/mp8pephm

DOI : https://doi.org/10.38124/ijisrt/26apr1986

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : Ensuring clean and safe water is a critical global challenge due to increasing contamination from industrial discharge, agricultural runoff, and urban pollution. Traditional water testing methods are manual, time-consuming, and lack real-time analytics. This research presents HydroGuard AI, an intelligent, web-based water quality monitoring and evaluation system capable of assessing key water parameters—pH, turbidity, temperature, conductivity, and dissolved oxygen—through automated computation and instant contamination alerting via SMS using the Twilio API. The framework is built using Python Flask, JSON-based lightweight storage, and an interactive dashboard for visualization through charts and historical logs. HydroGuard AI categorizes water as Safe or Contaminated based on WHO/NDWQS standards and sends warnings when thresholds are exceeded. This cost-effective system can be deployed in households, agriculture, aquaculture, industrial water plants, or environmental monitoring stations.

Keywords : Water Quality Monitoring, Flask Application, Dissolved Oxygen, Turbidity, Contamination Detection, IoT Alerting, Twilio API.

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