Bio

Malaria is a life-threatening disease caused by parasites that are transmitted to people through the bite of infected female Anopheles mosquitoes. In 2017, there were an estimated 219 million cases of malaria in 87 countries. The goal of this project is to use artificial intelligence to detect malaria. A program will be created to learn the differences between malaria-infected and uninfected red blood cells in order to classify them by type. The program will use a neural network to classify images of cells into two classes. A dataset with images of infected and uninfected red blood cells, sourced from Kaggle, will be used to train the program. Once an image is inputted, the program will run and output a diagnosis of "infected" or "uninfected" based on the results.

Project: Detecting Malaria-Infected Blood Cells Using Machine Learning