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Created a tool using Random Forest that recognize bank notes from a kaggle dataset with 99% accuracy.
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Optimized Random Forest to build the best model.
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Built a client facing UI using Streamlit.
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Built a client facing API using flask.
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Uploaded this project on Cloud using Heroku.
Requirments:
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Python
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Flask
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Numpy
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Scikit-learn
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Matplotlib
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Pandas
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Flasgger
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Streamlit
Also to run this system dowload all on the requirements.txt Wuth r-install requirements.txt command
Dataset Link: https://www.kaggle.com/ritesaluja/bank-note-authentication-uci-data
Project Overview: https://www.youtube.com/user/krishnaik06