Teenager Develops AI-Powered App to Prevent Anemia in Pregnant Individuals
High school student Rian Tiwari has created a mobile app that utilizes artificial intelligence to detect nutrient deficiencies in pregnant individuals by analyzing fingernail scans. The app, which triggers diet and lifestyle recommendations, aims to reduce the likelihood of anemia and associated complications.
Inspiration and Development
Tiwari’s journey began during the pandemic, when he sought to find his purpose through technology. He researched chronic conditions and focused on anemia, discovering that fingernail appearance can indicate nutrient deficiencies. With the help of mentor Viswanatha Allugunti, Tiwari developed the app, filing for a U.S. patent in 2021 and receiving a German patent last year.
How the App Works
The app uses a device-based neural network to analyze nail images, classifying them as healthy or unhealthy. If deficiencies are detected, it recommends dietary changes, such as consuming iron-rich foods. The app stores medical information and analytics, with plans to expand to lip and inner eyelid analysis and medication recommendations.
Testing and Launch
Tiwari collaborated with maternal health organizations, including Reach, to test the app. He plans to pilot the app this year, making it available for Android and iOS devices.
Inspiration from IEEE
Tiwari credits IEEE with inspiring his pursuit of a STEM career, particularly through IEEE Spectrum publications. He plans to become an IEEE student member and attend conferences, networking with professionals in the field.
Future Plans
Tiwari is applying to top colleges, including Cornell and Georgia Tech, to enhance his skills in machine learning and natural language processing. His goal is to expand his work into language translation and develop innovative solutions to real-world problems.
