Plasmodium parasites are a component of malaria, a blood-borne illness increase by mosquitoes. The conventional approach to diagnosing malaria is making a blood smear and by means of a microscope to look at the blood-stained smear in order to identify the pathogen genus Plasmodium. This approach is highly dependent on the knowledge of qualified specialists. Within the cover of this research, simple machine learning techniques are utilized over the conventional method that has certain problems regarding sympathy and specificity, in order to separate out the parasite from blood smears for malaria recognition. The suggested methodology uses patient photos to identify the presence of malaria with no the requirement for specialists or blood staining.