https://github.com/scaceresg/mlapi-banknotes
ML API for Bank Notes classification using FastAPI
https://github.com/scaceresg/mlapi-banknotes
classification-algorithm fastapi kaggle-dataset pickle python random-forest-classifier
Last synced: about 2 months ago
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ML API for Bank Notes classification using FastAPI
- Host: GitHub
- URL: https://github.com/scaceresg/mlapi-banknotes
- Owner: scaceresg
- License: mit
- Created: 2024-08-08T19:45:11.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-08-21T13:00:52.000Z (almost 2 years ago)
- Last Synced: 2025-01-11T13:53:16.345Z (over 1 year ago)
- Topics: classification-algorithm, fastapi, kaggle-dataset, pickle, python, random-forest-classifier
- Language: Jupyter Notebook
- Homepage:
- Size: 115 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Bank Notes Classification ML API
This project consists of developing a ML API for Bank Notes authentication.
## Dataset
Data is taken from the dataset [Bank Authentication UCI Data - Kaggle.com](https://www.kaggle.com/datasets/ritesaluja/bank-note-authentication-uci-data) which includes information on images taken from genuine and forged banknote-like specimens.
## Machine Learning Model
A Random Forest Classifier was trained and implemented for the dataset. The model was saved and implemented using the `pickle` module.
## Rest API
`FastAPI` was used to get requests and predict the authentication of bank notes.