DEEPFAKE DETECTION SYSTEM IN ARTIFICIAL INTELLIGENCE
Keywords:
Deepfake Detection System, existing toolsAbstract
Deepfakes are generated using the advancements in artificial intelligence both in innovative and harmful ways. While they have potential in fields like entertainment and education, their misuse creates serious issues, including the spreading of false information, breaches of trust, and violations of privacy. To handle such issues, it requires a detection system. This project detects fake and real using Python existing libraries and analyze the data from images. The features such as variations in textures, lighting, and facial expressions are inspected. The system allocates a probability value indicating the possibility of an image being real or manipulated. This paper focuses on the methodology, implementation tactics, experimental results, and drawbacks by using existing tools.
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