A 14-year-old student from Texas, Siddarth Nandyala has created a breakthrough mobile application called Circadian AI designed to detect early signs of heart disease in just seven seconds. The innovative app analyzes heart sound recordings using machine learning algorithms and achieved over 96% accuracy in clinical evaluations marking a significant step toward accessible and early cardiovascular screening.
Built with underserved and remote communities in mind Circadian AI addresses a critical global health challenge, limited access to timely and reliable heart disease diagnostics. The app requires only a smartphone and basic heart sound recording, making it a potentially game-changing tool in primary care settings, mobile clinics and telehealth services.
Siddarth began working on the project after noticing gaps in rural healthcare access and realizing how technology could help bridge them. He trained the AI model on thousands of heart sound samples enabling it to distinguish between normal and abnormal patterns such as murmurs or arrhythmias, common indicators of early cardiovascular issues. The app’s interface is user-friendly requiring no specialized training to operate.
Currently undergoing further clinical validation, Circadian AI has already received attention from healthcare professionals and researchers for its potential to improve early detection, reduce diagnostic delays and alleviate pressure on overburdened health systems.
Siddarth hopes to collaborate with public health organizations and nonprofit clinics to pilot the app in low-resource settings. His work stands as a shining example of how youth innovation and artificial intelligence can work hand-in-hand to drive meaningful change in global health.
Disclaimer: This article is intended for informational purposes only and does not substitute for professional medical advice, diagnosis or treatment. Circadian AI is still under clinical validation and should not be used as a standalone diagnostic tool. Always consult a licensed healthcare provider for any health-related concerns or conditions.
