Fruit ripeness plays an important role in determining the fruit’s quality. Determining the ripeness of the fruit manually poses several weaknesses, needs considerable amount of time, requires a lot of labor, and can cause inconsistencies. The process of determining fruit ripeness is still done by using the manual method. The development of computer vision and machine learning technologies can be used to classify fruit ripeness automatically. The idea behind this paper is to identify the ripeness stage of a fruit especially banana. The ripeness stages include unripe, ripe, overripe and rotten. Identification of the fruit and its ripeness stage can aid in sorting fruits according to their ripeness stage, as well as in quality control and packaging.