Step-by-step guide to run a plagiarism check on your code in minutes
Software

Step-by-step guide to run a plagiarism check on your code in minutes

Ensuring code originality is vital for academic and professional integrity. Codequiry’s AI code detector simplifies plagiarism checks, offering quic

codequiry
codequiry
3 min read

Ensuring code originality is vital for academic and professional integrity. Codequiry’s AI code detector simplifies plagiarism checks, offering quick and accurate results. This guide outlines how to run a plagiarism check on your code in minutes using Codequiry’s platform.


Step 1: Create a Codequiry Account

Visit Codequiry and sign up for an account. The process is straightforward, requiring basic details to access the AI detector dashboard, designed for educators, students, and organizations.

Step 2: Upload Your Code

Once logged in, navigate to the submission section. Upload your code files or paste them directly into the platform. Codequiry’s code detector supports multiple programming languages, ensuring flexibility for various projects.

Step 3: Configure the Check

Select the scope of the plagiarism check, such as peer-to-peer or web-based comparisons. Exclude standard libraries to avoid false positives. Codequiry’s detector analyzes logical similarities for precise results.

Step 4: Review Results

After processing, Codequiry provides a detailed report highlighting potential matches. Review these investigative insights to assess originality, as the AI detector leaves final judgments to users.


Conclusion

With Codequiry’s AI code detector, running a plagiarism check is fast and reliable, promoting fairness in coding assessments.



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