Oral Cancer is the cancerous tissue growth which occurs in the head and neck regions, primarily affecting key sub-regions such as the lips and the mouth. It is the 6th most revealed oncological disease happening in the developing countries, particularly in India. Oral cancer, which frequently develops in the oral cavity, is also known as Squamous Cell Carcinoma (SCC). It is identified by the differentiation of epithelial squamous tissue and rapid tumor growth, which has an impact on the basal membrane of the inner cheek area. This paper outlines the various steps including obtaining histopathological images using Leica ICC 50 HD digital microscope which is connected to advanced software and a high performing computer, followed by image augmentation, classification and assessment of accuracy of predictions. The primary motive of this chapter is to provide an understanding to the aspiring researchers who wish to apply deep learning methods in oral cancer research. It also focuses on enabling automated detection in the identification of benign cells and abnormal cells through classification through early diagnosis at an affordable cost.