At just 14, Siddarth Nandyala developed an AI-powered app that can detect heart disease in seconds with over 96% accuracy, using only a smartphone.
At just 14 years old, Siddarth Nandyala has developed Circadian AI, an app that detects early signs of heart disease in seconds using a smartphone’s microphone. The app analyzes heartbeat sounds using machine learning and advanced noise-cancellation to identify potential issues like arrhythmia or heart valve problems.
“It’s a non-invasive, affordable way to catch issues before they become critical,” Nandyala said.
The app addresses a major global problem: heart disease remains the world’s leading cause of death, yet early symptoms often go unnoticed due to the cost and complexity of diagnostics.
According to Smithsonian Magazine, Circadian AI has already been tested on 15,000 participants in the U.S. and 3,500 in India, with results showing over 96% accuracy confirmed by traditional methods.
Currently limited to trained professionals, the app is undergoing regulatory review. Nandyala now plans to expand its capabilities to detect lung illnesses like pneumonia and pulmonary embolism, demonstrating how AI continues to reshape preventive medicine.