At the tender age of 12, Hemesh experienced a moment that would shape his future, a moment of sheer panic and realization that would drive him towards a remarkable mission. (CREDIT: Hemesh Chadalavada)
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In the summer of 2018, young Hemesh Chadalavada embarked on a heartwarming journey filled with cherished memories spent with his beloved grandmother, Jayasree, in their family home in Guntur, southern India. The days were adorned with endless movies and the exquisite aroma of her chicken biryani wafting through the air.
At the tender age of 12, Hemesh experienced a moment that would shape his future, a moment of sheer panic and realization that would drive him towards a remarkable mission.
On that fateful evening, while Hemesh sat engrossed in front of the television, Jayasree, then 63, left the room to make a cup of tea. Little did she know that her world, and Hemesh's, were about to change.
As Hemesh ventured into the kitchen, he discovered a gas stove left on, a seemingly innocuous oversight. But for Jayasree, it was a stark reminder of the relentless grip of Alzheimer's disease.
Fast forward to the present day, and at the age of 17, Hemesh Chadalavada is on the cusp of transforming his vision into reality. He is preparing to manufacture a groundbreaking device, the Alpha Monitor, designed to detect when individuals with Alzheimer's fall or wander away from their caregivers. What sets this innovation apart is its ability to operate beyond the confines of traditional devices.
Unlike most similar devices that rely on wifi or Bluetooth, which have limited range and lose connection when the wearer moves out of that range, the Alpha Monitor utilizes LoRa (Long Range) technology. This advanced feature enables the device to detect a person's location from over a mile away in urban areas and up to three miles (5km) in rural settings.
But the Alpha Monitor doesn't stop at fall detection and location tracking. It also measures vital signs like pulse and temperature, offering a comprehensive approach to patient monitoring. Furthermore, Hemesh is pushing the boundaries of his invention, exploring the integration of machine-learning technology to predict a patient's movement patterns.
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