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.

Using real cash may seem like such a major convenience today. Far out in the digital future, though, cash will mutate from one form to another at blazing speeds. One minute, you'll be transacting in crypto-currencies; the next you'll probably exchange digital credits to purchase new gadgets -- and for almost any other monetary transaction. In a 2011 science fiction movie, In Time, currency is measured by a digital clock, which extends one's life, and "time" credits are exchanged between people, essentially meaning that people earn or spend time credits. When one's "time" credits are exhausted, that person dies, i.e. has'timed out.'