Lexington student wins award for groundwater-monitoring tech!

In her free time, she loved baking and painting.

She used to develop technologies for mapping out groundwater levels across the United States to monitor issues like water depletion.

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Akhila's invention utilises machine learning to interpet data collected from satellite to predict ground water level.

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Ram's invention offers a cost effective method to the farmers, labours and others.

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Her model was honoured at the second annual invention convention global competition.

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Her invention achieved great praise across the globe. Akhila's invention were used by most of the under class people.

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Previously, she took on projects involving groundwater runoff and pollution.

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With the help of the Invention Convention program, Ram said, she recently filed a patent for her invention.

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The 18-year-old is already thinking about ways to improve the technology and widen its scope. Currently, the computer model is based on data specific only to the United States.

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In her free time, she loved baking and painting.

She used to develop technologies for mapping out groundwater levels across the United States to monitor issues like water depletion.

Akhila's invention utilises machine learning to interpet data collected from satellite to predict ground water level.

Ram's invention offers a cost effective method to the farmers, labours and others.

According to her, the model is the first one that uses a statistical approach over a large area to predict groundwater level changes.

Her model was honoured at the second annual invention convention global competition.

Her invention achieved great praise across the globe. Akhila's invention were used by most of the under class people.

Farmer.

Labours.

Villagers.

Well Owners.

Previously, she took on projects involving groundwater runoff and pollution.

With the help of the Invention Convention program, Ram said, she recently filed a patent for her invention.

The 18-year-old is already thinking about ways to improve the technology and widen its scope. Currently, the computer model is based on data specific only to the United States.