Avocados, favorite fruits for many consumers, are to detect if they are ripe or not. There are existing studies on the classification of ripening stages of avocados; however, these studies have not been efficient and convenient for consumers to use. Thus, a different approach that is available to the consumers at large is needed. Here, we propose a method for classifying the ripening stages of avocado using deep learning. This system will help consumers detect a ripe avocado when purchasing or cooking with it. The proposed method uses a new approach to detect avocados and classify them into four ripening stages using two deep learning models from the user's avocado image input.