Forecasting Malaria Parasite Using Machine Learning

Author : Zeel Sheth

Abstract :Plasmodium parasite causes malaria which is an acute disease. Usually, a trained and specialized microscopist examines blood smear slide microscopic images for diagnosing the disease. This is a tedious and error prone method. We present in this paper a method that solves the issue of detecting malaria parasite automatically by performing an extensive analysis on the dataset consisting of about 27,588 images. A custom CNN model was designed and trained to correctly identify the blood cell images as either parasitized or un-infected.

Keywords :CNN, VGG19 Model, Deep Learning, Malaria, Transfer Learning, JavaScript.

Conference Name :National Conference on Advances in Engineering and Technology (NCAET-25)

Conference Place Trivandrum, India

Conference Date 27th Apr 2025