Authors : T.Swathi; Bhargav Ram. M; Suriyamoorthi; J. Mohamed Ismail Sait; T.Sam Pradeep Raj

Volume/Issue : Volume 9 - 2024, Issue 7 - July

Google Scholar : https://tinyurl.com/avwh7juu

Scribd : https://tinyurl.com/3ckuyrds

DOI : https://doi.org/10.38124/ijisrt/IJISRT24JUL1421

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

Abstract : This article introduces the creation and implementation of a real-time dashboard for forecasting groundwater levels using javascript and web technologies. The dashboard utilizes historical data and real-time sensor information to offer nearly instantaneous predictions of groundwater levels, aiding in water resource management. The groundwater government URL is a JavaScript program that establishes an interactive web-based platform for forecasting and interpreting groundwater levels visually. By combining machine learning models with geospatial data and continuous monitoring, GPD can anticipate changes in groundwater depth (such as flood risk) and local water table levels at any given moment. Information such as purity level (mg/l), water depth in meters, borewell location, and Ph Level is presented on this dashboard. Users can add parameters to forecast values, visualize predictions, and download data.

Keywords : Groundwater , Prediction, Parameters.

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