This project leverages machine learning to develop an automated diagnostic tool for detecting malaria parasites (Plasmodium falciparum) from blood smear images. The primary goal is to improve the accuracy and efficiency of malaria diagnosis, aiding in timely and effective treatment.
You can find the dataset used at https://drive.google.com/drive/folders/1Fshh206Vmbds8VFuGUTZlGk4uT2c7nE6?usp=drive_link https://drive.google.com/drive/folders/16pX7lrv6lgPZZoXHiJ5YV2LcG1qrQI30?usp=drive_link