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Data Features
            For the above Problem, the data needed is the average consumption of water in the households for various
            activities  based  on  Season  and  Region.  The  data  points  would  be  House  No.,  Location,  Location  Type
            (Metro/Urban/Village), Source of water (Piped/Well/Tube Well), Month, Activity, Water Consumed in Liters,
            Gender, Adult/Child. The sample size from each location should be reasonable enough to represent the
            location. Location selection needs to be in a way that covers all types of topography like Desert, Plain,
            Mountain, Coastal Area, Metropolitan or Urban or Village.





























            AI Solution
            Today in general there is no systematic analysis of water requirement per household and the basis of the
            supply of water in that area. Today the supply is based on the availability of water in that area to supply.
            Which creates abundance in some areas, and shortage in others. This thereby leads to gross misuse of this
            scarce resource available to us in the areas of abundance supply. There is also no use of recycled water in
            the households as the supply of the same is not there.

            To solve the same for our future generations, we need to work on it now and for this things can start by
            laying down recycled water supply lines to the households to use for washing and in the washrooms for
            flushing.
            This can be started at the places, where already the supply lines are laid, and an AI model needs to be
            introduced here to manage the supply to different areas based on the household consumption pattern in
            that area, the kind of area it is, that is Desert would need more water than in the mountains. Gradually,
            when the water requirements settle down over a period of time, the previous consumption pattern and
            considering new households added, can also be considered by the AI model to determine the demand.
            Further to make the water resources more distributed and available to areas where water is scarce, inter-
            city supply lines can be laid, and AI model scope can be increased to manage water resources better and
            more efficiently.
            Rohit, an Indian, embarked on a project to redesign the water closet / flush to reduce the consumption
            of water. He made this possible with a simple mechanism added to the conventional closet that creates a
            partial vacuum when the user pushes down the flush lever. He called it the Vacu-Flush.





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