Published Paper Details:

Malaria is a disease which is transmitted to people by the bites of female Anopheles mosquitoes. The major symptoms of malaria are fever, tiredness, vomiting, headaches. If it is very severe it can cause the patient to go to coma or cause death. It is preventable and curable. With the normal malaria detection methods, requires a lot of effort in differentiating infected and uninfected cells. Typically, it is really difficult to carry out this process in rural areas. Machine Learning is application of Artificial intelligence which that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. The primary aim is to allow the computers learn automatically without human intervention or assistance and adjust actions accordingly. In this paper we have modelled using four models basic CNN , SVM , and other two models with deep transfer learning . The pre trained with image augmentation gives an accuracy of 96.1 %.