I'm looking for a proficient Python developer to build a plagiarism detection system aimed specifically at blog articles. By utilising machine learning, effective plagiarism detection algorithms should be developed. The following key features are essential:
- Submissions History: The system needs to retain a history of past submissions made for reference and comparison. This should be arranged in an organised and user-friendly manner for hassle-free access.
- Plagiarism Percentage Accuracy: This refers to the exactness of plagiarism detected in terms of percentage. The system should be able to quantify the extent of plagiarism and present it to the user.
Having a clear understanding of machine learning, as well as experience with similar projects is beneficial. An understanding of semantic recognition and comparison would also align well with the project requirements.
re engaging and well written without spelling or grammatical errors
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