Fake Image Classification using Image Processing
Making a deepfake image sorter with Python is like creating a pretend brain for pictures. We use Python tools like TensorFlow or PyTorch to make a simple thinking pattern. First, we make up a bunch of fake pictures showing different things. Then, we teach our pretend brain by showing these pictures and telling it what’s in each one. The brain learns by practicing and getting better. We test it to see how well it can guess. Even though it’s just a pretend game, it helps us understand how real picture-sorting systems work.
Deepfake Image Detection using CNN
Software Requirements :-
- Coding Language : Python
- Implementation: Software Framework.
- Operating system : Windows 10 / 11.
- Graphical User Interface : Tkinter
Hardware Requirement:-
- Input Devices : Keyboard, Mouse.
- System : Pentium i3 Processor.
- Hard Disk : 500 GB.
- RAM : 4 GB.
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