(Left to right) Dominic Thomas, Akanksha Anand, Namratha Sri Mateti, Parv Bhatt, and Abhay Haridas placed first in the Nittany AI Challenge with their project iLenz, a deep-learning-powered mobile phone application that enables users to perform retinal imaging using a clip-on case.
The iLenz team worked with undergraduate students in the Multidisciplinary Engineering Design option to 3D print a clip on prototype. Front row: Akanksha Anand, Sally Sue Richmond, Namratha Sri Mateti; Back row: Dominic Thomas, Parv Bhatt, Armin Toshtzar, Arthur Francis, Edward Virgilio.
(Left to right) Dominic Thomas, Akanksha Anand, Namratha Sri Mateti, Parv Bhatt, and Abhay Haridas placed first in the Nittany AI Challenge with their project iLenz, a deep-learning-powered mobile phone application that enables users to perform retinal imaging using a clip-on case.
Five graduate students created iLenz, a deep-learning-powered mobile phone application that enables users to perform retinal imaging using a clip-on case, and won $15,000 in funding to further develop their idea.