Created Plagiarism-detector-using-machine-learning web app #1059
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| if __name__ == "__main__": | ||
| app.run(debug=True) |
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Niketkumardheeryan
merged commit a13fab5
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Niketkumardheeryan:master
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By leveraging machine learning techniques, we can create a robust plagiarism detector that can accurately identify copied content. i used the Term Frequency-Inverse Document Frequency (TF-IDF) vectorizer to transform the text data into numerical features. Then, we train a model using these features. For this example, we will use a simple logistic regression model.To make our plagiarism detector easily accessible, i create a Flask web application. This application will provide a user interface where users can input two text documents and receive a plagiarism score.
My issue was #1030 .
Please assign this with appropriate level (1/2/3)