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Music Plagiarism Detection Software

Welcome to my Music Plagiarism Detection Software project, a Python-based application designed to identify potential plagiarism in music compositions.

Key Features:

  • Hash Function Implementation: Utilizes advanced hash functions to compare music segments.
  • Data Structures: Efficiently processes and stores music data for quick retrieval and comparison.
  • Plagiarism Detection: Identifies similarities between music pieces using sophisticated algorithms.

The Music Plagiarism Detection Software project showcases my proficiency in Python programming, data structures, and algorithm implementation. The project includes:

  • Data Import: Supports importing music data from various formats for analysis.
  • Plagiarism Analysis Modules: Contains modules for detecting potential plagiarism in music compositions.
  • Interactive Analysis: Provides tools for detailed analysis and visualization of music plagiarism results.

This project is a testament to my skills in software development, data analysis, and algorithm design. It serves as a powerful tool for music researchers and copyright analysts.