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Plagiarism-Detector

Project Description:

Developed a plagiarism detection tool using the Longest Common Substring (LCS) algorithm to identify common substrings between files, focusing on substrings longer than three words to improve accuracy.

Key Features:

  • File Processing: Reads files word-by-word, ignoring punctuation, blank lines, and references to avoid false positives.

  • Dynamic Programming: Utilizes a dynamic programming approach - Longest Common Substring (LCS) to identify common substrings.

  • Plagiarism Calculation: Calculates the percentage of plagiarism, flagging files with 30% or more similarity.

  • Command Line Interface: Implements a Make command for easy file path input.

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