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Malaria is a very infectious disease that is caused by female anopheles mosquito. This disease not only harms humans but also animals. If this disease not diagnosed properly in the early stage than it can cause muscular paralysis or even death of the patient in worst case. Due to lack of highly technical expertise in industry, it becomes very difficult to confirm the presence of disease. In this context, the intervention of IT must be involved for proper and rapid detection of disease. Modern day IT sectors are putting their blood and sweat for fighting this disease by taking the help of IT sector buzz words technologies like Machine Learning, Deep Learning and Artificial Intelligence. These technologies have been a backbone for healthcare since the last few years and will continue to be if used properly. This paper uses the CNN algorithm on the microscopic image of the malaria infected blood cells to predict if an organism is suffering from malaria or not. Our proposed model got accuracy of 95.23% and out of 16 random images, 15 are always predicted correctly.