AI-Enabled Water Savior System

Water is a finite resource, yet many buildings waste it because small leaks are hard to see and most systems do not watch usage in real time.[1] People also tend to use water without knowing how it affects others in a shared place. Saving water and sharing it fairly needs a simple system that can watch, learn, and act. In our earlier Water Savior we built a working setup with a card at each tap, a daily limit for each person, latching solenoid valves, and two controllers for reliability. That version followed fixed rules. It could not learn from data, predict busy hours, or tell the difference between normal long use and a slow leak. This paper describes a clear concept that adds an AI layer to the same trusting hardware idea. The small sensors on each tap measure flow and pressure. An RFID reader knows who is using water. A local controller makes quick safety checks and can close the valve if needed. A small model on a server learns what normal use looks like, spots unusual patterns, and predicts busy hours so limits and pump time can be planned. Our goals are simple. Watch water use in near-real time. Stop leaks fast. Keep sharing fair. Use low-cost parts. Make the design easy to build and easy to understand.