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Bank note authentication web app created using Random forest classifier and FastApi.

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Bank Note Authentication

The web app can be used to detect fraudulent notes accurately based on the features: wavelet variance, wavelet skewness, wavelet kurtosis, and image entropy. The model was trained on these features which were extracted from a set of images of geniune and forged banknotes.

For more details about the dataset check out here

You can check out the web app here!

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Bank note authentication web app created using Random forest classifier and FastApi.

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