For the purpose of illness prediction, objective this study is to develop automated models for categorization white blood cells (WBCs). In human immune system, (WBCs) function combat infections and shield body from external substances. Eosinophils, neutrophils, monocytes, basophils, lymphocytes are components that make up these cells; each cell types accounts a different proportion responsible distinct set functions overall. The clinical laboratory technique counting specific has long been an essential component testing procedure known as complete count (CBC), which used aid in monitoring individuals' health. However, such manual processes time-consuming error-prone disease detection. recently proposed machine deep learning-based solutions classification delivered better results, however, suffered challenges well. These motivate us propose novel AI-based approach automatic WBCs research work.

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