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.