This is just a classification problem. You can use a standard neural nerwork for this, the input parameters are the pixels of the meme, the expected output is G

This is just a classification problem. You can use a standard neural nerwork for this, the input parameters are the pixels of the meme, the expected output is GOOD or BAD you can check huggingface to see if any models could be fine tuned to handle this or you can use tensorflow[1] You will need quite a bit of good data for this to work, GPT 4 can work with images and you could fine-tune it but i'm not sure how to do that for images. As to usefulness - to me it's not really, but as a model it could be something fun someone can use or find use of [1] https://www.tensorflow.org/tutorials/images/classification https://www.tensorflow.org/tutorials/images/classification