MUMBAI, India, Oct. 11 -- Intellectual Property India has published a patent application (202444034090 A) filed by Karpagam College Of Engineering, Coimbatore, Tamil Nadu, on April 30, 2024, for 'ai-driven groundwater level enhancement system using advanced prediction algorithms.'
Inventor(s) include Sathya K; Ranjith Kumar K; Ranganathan S; and Vignesh M.
The application for the patent was published on Oct. 10, under issue no. 41/2025.
According to the abstract released by the Intellectual Property India: "This invention aims to develop a comprehensive framework for predicting water sources in multiple areas through the integrated analysis of groundwater level, rainfall, and borewell data. The study leverages historical datasets to establish relationships between groundwater levels and environmental factors, primarily focusing on the impact of rainfall on aquifer recharge. Borewell data, including depth and water quality parameters, are incorporated to identify potential water sources. The project involves data cleaning and preprocessing, exploratory data analysis to understand trends and correlations, and feature engineering to enhance model accuracy. Machine learning models are employed to predict groundwater levels based on the interplay of various features, including rainfall patterns, geographical characteristics, and borewell information. Spatial analysis using GIS tools helps visualize the distribution of groundwater levels and rainfall across different regions. The developed model is evaluated using appropriate metrics, and the results are interpreted in the context of local hydrogeological conditions. Special attention is given to integrating borewell data to identify reliable water sources based on depth and water quality. The project emphasizes continuous monitoring and updates, ensuring the model's relevance over time. Ultimately, this integrated approach aims to provide valuable insights for water resource management, aiding decision-makers in assessing and planning sustainable water sources in diverse geographical areas."
Disclaimer: Curated by HT Syndication.
