Capstone Project: Malaria Detection (MIT Applied AI and Data Science)
Completed a capstone project involving binary image classification for malaria detection using deep learning. Applied convolutional neural networks (CNN) to classify red blood cells in medical images. The project relied on data preprocessing, model evaluation, and annotation best practices. • Labeled medical image data for training and testing purposes • Used explainable AI techniques for analyzing classification results • Managed data cleaning and preprocessing tasks • Ensured proper labeling workflow using Python tools