IJAIEM

Pradyumna Yambair, MG. Suma

Abstract

Computer vision, image identification, and natural language processing are just a few of the many fields that have made use of deep learning. The development of deep learning algorithms for picture recognition and modification has resulted in the emergence of deepfakes, which use these techniques to generate synthetic pictures that may sometimes be difficult to differentiate from the originals. Deepfake image detection methods have proliferated in response to growing worries about individuals' right to privacy and security. This paper investigates these methods and suggests using deep learning to improve the quality of deepfakes made.