Malaria Prediction Algorithm

  • Category: Predictive Modeling
  • Client: Internship Project
  • Project date: 12 July, 2024
  • Project URL: Project & Code link

Project Details

The directory contains ipynb file of building and training a CNN model to diagnose Malaria parasites in the blood cell. The model detect and diagnose Malaria parasites Plasmodium falciparum (or P. falciparum) Plasmodium malariae (or P. malariae). The model was trained with 22000 different blood samples, 2700 Validation sample and 2700 test samples. 27000 different opensource blood images are used in the process. 22000 images used for trainig, 2700 used for validation, 2700 used for testing. Dataset not included in the directory. Infected blood is marked 'P' and uninfected blood is marked 'U' in the validation section. (P = Parasitic | U = Uninfected)