Eye Images Dataset Anemia Prediction

This project is to develop a predictive model for anemia detection using eye images. The dataset will be used to train and evaluate decision tree, random forest, and XGBoost algorithms. The output of the model will be a binary classification indicating whether the person has anemia or not. By leveraging these machine learning algorithms, we aim to provide a reliable and efficient tool for early detection of anemia using non-invasive eye imaging techniques.