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View Code? Open in Web Editor NEWMost developing countries have a serious shortage of qualified medical personnel. Particularly of qualified pathologists, which leads to long delays in the testing and the diagnosis of diseases. This in its own leads to needless suffering and unnecessary deaths. A review of literature on the field of ML in medical science shows that ML can partially contribute to correcting this problem. These have been specially designed to allow ML models to work with mobile and portable devices such as the iPhones, iPads and the android equivalents. The aim of this dissertation is to show the potential and possibility to develop the next stage of software that can be used in the medical field. The use of ML will reduce the need for other resources such as external databases and other heavy tools. The applications proposed in this project could allow medical professionals such as “Doctors without borders” to test and diagnose patients in field hospitals without having to carry a lot of equipment or have to send blood samples over long distances with related delays and the risk of contamination. The applications could also be used in developed countries where medical facilities are under pressure. The applications could provide an indication of a disease/illness, saving time and resources.