The project involves development of Random Forest Classifier which classifies the authenticity of a paper currency. Two different frontends have been created using Flask , Flasgger and Streamlit. Finally the project is deployed on docker.
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The project involves the development of a Random Forest Classifier which classifies the authenticity of a paper currency. Two different frontends have been created using Flask , Flasgger, and Streamlit. Finally, the project is deployed on docker.
gauravabhishek4U/Currency-Authenticator-Using-ML
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The project involves the development of a Random Forest Classifier which classifies the authenticity of a paper currency. Two different frontends have been created using Flask , Flasgger, and Streamlit. Finally, the project is deployed on docker.
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