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A Better Understanding of Water Consumption Using Machine Learning

CSEF · 2023 Mathematical Sciences (Junior Division)

Manasvini Singh

Overview

Water is becoming more and more limited over the years. With the human population growing drastically, water crises becoming more frequent and dangerous, and the increasing scarcity of water resources, there’s a growing need for efficient water management practices. One of the key challenges in achieving this is the lack of awareness among people regarding their water usage habits. To help this situation, water usage was forced back by at least 25 percent, with fines of up to $500 for wasting water in California. Even now, there are regulations such as limiting peoples’ water supplies to preserve water. However, people need a way to know and understand how much water they’re using and where. I am training an AI/ML model to detect which categories of water usage are being used during a time period. My goal is to help people understand the water consumption in their homes; where it is being used and how much they spend in different areas such as showers, toilets, sinks, etc. My model takes an input of the change in the amount of water being used per minute and gives an output of which water appliance was on at that time. It uses machine learning algorithms to analyze the data and provide insights into the user's water consumption patterns. This will help bring more awareness to people about where they’re using their water and how they could cut down on their usage, leading them to find more efficient solutions and lower water consumption.

Source coverage

This record comes from a published award list, not a complete project archive. Its abstract comes from CSEF's public project showcase as archived by the Internet Archive before judging (https://web.archive.org/web/20230401224130/https://ca-csef.zfairs.com/showcase/ShowcaseInfo?f=838e60b7-ea75-46e8-865c-fde4864244b3); the version presented may differ.

Awards (1)

  • Sponsored Award: Junior Division Mathematical Sciences Award

Competition history

  • CSEF 2023 Mathematical Sciences (Junior Division) · Entry J1416

Resources

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