Assistant Professor Vels Institute of Science, Technology and Advanced Studies (VISTAS) Chennai

Abstract

Water scarcity is one of the major global challenges affecting human life, agriculture, and industrial development. Rapid population growth, climate change, and inefficient water usage have intensified this problem. This paper presents a smart mobile application for water scarcity prediction and management. The proposed system collects real-time data on water usage, weather conditions, and water availability through sensors and user input. The application analyzes this data using machine learning techniques to predict future water shortages. It also provides alerts, usage reports, and conservation suggestions to users. The system aims to promote efficient water utilization and create awareness about water conservation. The experimental results show that the proposed solution is cost-effective, user-friendly, and suitable for real-world implementation.