Smart Water Management System Using IoT and Predictive Analytics

Water scarcity and inefficient distribution systems pose major challenges worldwide. This research project proposes a smart water management system using IoT sensors and predictive analytics.

Problem Statement

Traditional water management lacks real-time monitoring and predictive planning capabilities.

Research Objectives

The objective is to monitor water usage patterns and predict demand to optimize distribution.

Methodology

IoT sensors collect water flow and usage data. Predictive models analyze trends and forecast future demand.

Technologies Used

IoT platforms, data analytics tools, and cloud-based dashboards are utilized.

Expected Outcomes

The system reduces water waste, improves efficiency, and supports sustainable resource management.

Conclusion

This project demonstrates how technology can address critical environmental challenges.