The convolutional neural network (CNN) is a frequently used and beneficial approach in many domains, such as computer vision, machine learning and natural language processing (NLP). CNN is used by deepfakes to modify people's photos and videos so that viewers are unable to tell the fake from the real one. Many investigations into the mechanics of deepfakes have been carried out in recent years and a variety of CNN-based methods have been introduced to identify deepfakes in photos or videos. In this research, CNN-based proposed model are implemented the deepfake analysis and face detection technologies. Furthermore, these are provided a comprehensive examination of different technologies and used in the identification of deepfake analysis. Researchers in this field will find this study useful as it covers the most recent state-of-the-art techniques for identifying deepfakes in photos or videos found in social media content. It will also facilitate comparison with previous research due to its comprehensive description of the most recent techniques employed in this field.