Malaria Cell Classification using Vision Transformers

In this video, I walk through a complete deep learning project for detecting malaria from microscopic blood cell images using the popular Cell Images dataset from Kaggle. We explore the dataset, perform data preprocessing and visualization, then build and train a Convolutional Neural Network to classify parasitized and uninfected cells. The tutorial covers model training, evaluation, and performance insights, making it perfect for beginners and students interested in medical AI, computer vision, and real-world deep learning projects. Kaggle Code : https://www.kaggle.com/code/amineipad/malariaclassificationvit