  Currency is used almost everywhere to facilitate business. In most developing
countries, especially the ones in Africa, tangible notes are predominantly used
in everyday financial transactions. One of these countries, Ethiopia, is
believed to have one of the world highest rates of blindness (1.6%) and low
vision (3.7%). There are around 4 million visually impaired people; With 1.7
million people being in complete vision loss. Those people face a number of
challenges when they are in a bus station, in shopping centers, or anywhere
which requires the physical exchange of money. In this paper, we try to provide
a solution to this issue using AI/ML applications. We developed an Android and
IOS compatible mobile application with a model that achieved 98.9%
classification accuracy on our dataset. The application has a voice integrated
feature that tells the type of the scanned currency in Amharic, the working
language of Ethiopia. The application is developed to be easily accessible by
its users. It is build to reduce the burden of visually impaired people in
Ethiopia.
