High school student Rian Tiwari has developed a mobile app that uses artificial intelligence to help pregnant women detect nutrient deficiencies by scanning their nails. The Tiwari app uses data from surveys to make diet and lifestyle recommendations, with the goal of reducing the likelihood of a user becoming anemic.
People with anemia have low levels of healthy red blood cells, which are needed to carry oxygen to the body’s tissues. More than 50 percent of pregnant women become anemic, according to Cleveland Clinic, risk of premature birth, low birth weight, and postpartum depression. Preventing anemia can be as easy as eating iron-rich foods like beans, red meat, and dried fruits.
In 2020, as a sophomore at South Brunswick High School In New Jersey, Tiwari was learning remotely during the coronavirus pandemic, and found himself getting bored. His father suggested that he think about it ikigaiA Japanese concept that refers to something that gives a person a sense of purpose. Tiwari decides that his goal is to help others through technology.
The research began with several chronic conditions and focused on anemia. He found that there are already existing applications for monitoring hemoglobin levels. But he also learned that the appearance of a nail can give clues about a person’s health. Discoloration, ripples, bumps, and other changes in the nail can be signs of a nutrient deficiency or disease. White spots, for example, may indicate a zinc deficiency. Brittle and cracked nails suggest low levels of folic acid.
Tiwari created an app that analyzes nail scans for signs of deficiency in vitamin B12, calcium, zinc, and other nutrients. If these signs are present, the app recommends dietary and lifestyle changes, which may prevent the development of anemia.
He introduced his application last year IEEE International Conference on Intelligent Reality During an event hosted in collaboration with Amazon Web Services. The event focused on how AWS is helping startups developing healthcare technology.
“Showing my work in front of eminent and respected architects felt unrealistic,” Tiwari says. “I was humbled by the opportunity to showcase my work and learn from other presenters.”
Turn an idea into a mobile app
In 2020, Tiwari and two colleagues submitted a presentation and business plan for their product to Conrad Challenge, a competition for students developing technologies that address a global problem. They were selected as finalists, and virtually submitted their idea to Conrad Innovation Challenge Summit In the Space Center Houston. Although they didn’t win, Tiwari went ahead with the development of the app.
However, he needed help. is found Viswanatha AlloguntiSolutions Engineer at Arohak—a software company in Monmouth Junction, N.J. —on LinkedIn and contacted him. Tiwari says he felt Allugunti’s expertise in machine learning and business development would be beneficial.
“Having Dr. Alogunte as a mentor helped me push myself and this project to the next level,” Tiwari says. “It taught me more about coding, how to apply for a patent, and how to do research more effectively.”
Allugunti has also helped it narrow its target users from anyone with anemia to pregnant women, focusing on a group with a particular need for the technology, says Tiwari.
Tiwari made to get us patent For his invention in 2021. He was patented in Germany last year.
How can artificial intelligence read your nails?
Tiwari created the algorithms his app uses by running datasets obtained from the open-source Kaggle website through a machine learning platform. The algorithm classifies nail images based on their appearance. Looks for cracks, edges, peeling, and discoloration. The lips and inner eyelids can also show signs of a nutrient deficiency, but Tiwari opted for nail analysis, since it’s easier to photograph.
The app starts with a photo of a nail taken by the user. Tiwari says he then uses a device-based neural network to analyze the image and classify the nail as healthy or unhealthy.
For example, if the app detects that a person is deficient in folic acid, it recommends eating foods like asparagus, spinach, and sunflower seeds, he says.
The app stores some medical information as well as analysis records and recommendations from previous scans.
To test the app, Tiwari contacted maternal health organizations. speak with ReachA nonprofit organization that provides mentorship and educational opportunities to people developing technology that enables individualized patient care. The organization took off its own projectMaternal death prevention program – to ensure that pregnant women have access to health monitoring.
Tiwari says he worked closely with the head of the organization, Fran AyalasumayajolaTo learn what it takes to run a business. He says she helped him set up an advisory board and do patient outreach.
He’s working to have the app analyze images of the lips and inner eyelids, too, which can also show signs of nutrient deficiencies, he says. He also wants to add recommendations for medications and vitamin supplements.
Tiwari says he will pilot the app this year. It plans to make it available for Android and iOS devices.
Inspired by IEEE
Tiwari says he was inspired to pursue a career in STEM thanks to his father, Rajiv, which he has submitted to IEEE products, services, conferences, and publications. The senior member of the IEEE serves as co-chair of the IEEE IEEE Future Directions Committee.
Tiwari says IEEE Spectrum The many award-winning IEEE publications he shares with his father have made a huge impact on him. Read articles published in Domain Help him discover he wants a job in technology, he says.
Lots of great technology IEEE Spectrum “Like quantum computing, it sounds like it’s out of a science fiction movie,” he writes. “I want to work on these kinds of technological developments.”
He says he plans a career in machine learning, specifically natural language processing.
“Helping patients monitor their own health is just one of the problems I hope to solve with AI,” he says. “Developing the APT mobile app helped me discover that I wanted to expand my work into other areas such as language translation.”
The high school student recently applied to colleges. his best choices CornellAnd Georgia Techthe University of Michiganand the University of Illinois Because of the types of science, technology, engineering, and math (STEM) programs they offer.
“The work that students and faculty are doing at these universities is exceptional,” says Tiwari. “Programs offered at these schools can help me enhance existing technology or develop my own solution to language barriers that exist around the world.”
He says he is looking forward to becoming a member of the IEEE and is looking forward to conferences and networking opportunities.