As we know, Red Blood Cells are the main part of blood that is responsible for the circulation of blood in the human body. Anemia is a well-known disease that is caused due to the deficiency of red blood cells. Due to anemia, red blood cells are unable to supply oxygen throughout the body. This sickness can be lethal to the human body if not treated promptly. We are creating machine learning techniques such as Random Forest, SVM, and others to detect anemia in a patient in this study. We can detect anemia in a patient using machine learning methods and suggesting Nutritious food to overcome this disease. As a result, we intend to create a classification-based ML model in which we provide the essential CBC test values for our model to predict whether a patient is anemic. With the help of machine learning techniques, we are automating the process for detecting anemia in this study work. We compared the statistical analysis of all algorithms we've utilized to predict anemia in this paper.