Telugu NRI Teen Creates AI App to Detect Heart Disease in 7 Secs

In a remarkable development, a Telugu NRI boy has created an AI-powered application that can detect heart diseases in just seven seconds. As per reports, the app is giving promising results. The brain behind this is Siddharth Nandyala, a 14-year-old student of Andhra origin living abroad.

Siddhath recently met Andhra Pradesh Chief Minister Nara Chandrababu Naidu, Deputy CM Pawan Kalyan and demonstrated how his app could help in medical diagnosis. Both Naidu and Pawan lauded the teen prodigy in the field of the AI. Chandrababu reportedly praised Siddharth for his achievements and promised full support from the Andhra Pradesh government. He also applauded Telugu talent worldwide for making remarkable advancements, particularly in healthcare.

The app was successfully tested at Guntur Government General Hospital (GGH), where it showed accurate results in identifying heart-related conditions. Siddharth is recognized as the world’s youngest AI Certified Professional by both ARM and Oracle, and he continues to develop AI-based solutions for healthcare and other fields.

Siddharth’s parents Mahesh Nandyala and Srilatha are into business. While dad Mahesh is a serial entrepreneur in AI-based startups, mom Srilatha runs a jewelry business. Originally from Anantapur, Mahesh moved to the US in 2010. Siddharth credits his mother for sparking his interest in STEM (Science, Technology, Engineering and Mathematics) by buying him his first electronics kit at age seven.

Interestingly, Siddharth has a twin sister Sowmya who is only 20 minutes older. She also has an entrepreneurial mindset, continuing the family’s passion for innovation. Siddharth has already made a significant impact in AI, healthcare, and STEM education. Apart from the heart disease detection app, Siddharth has also developed other AI-based medical solutions such as Fall Detection Band and Diabetic Retinopathy Grading System.

Siddharth is reportedly working on an affordable prosthetic arm that can be controlled using brain signals. Traditional prosthetic arms cost over $400,000, but his version, using EEG (electroencephalography) technology, will cost just $300. This low-cost alternative is especially helpful for children who need replacements as they grow. He is currently refining this project at T-Works for commercial production.