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A high-performance text plagiarism detection pipeline using KMP and Rabin-Karp exact matching, robust Winnowing fingerprinting, and sub-linear time candidate screening via MinHash + Locality-Sensitive Hashing (LSH), built with a unified Streamlit analytical dashboard.
A high-performance text plagiarism detection pipeline engineering exact string matching via Knuth-Morris-Pratt (KMP) and Rabin-Karp architectures, coupled with structural winnowing fingerprinting for local alignment. Implements an optimized sub-linear time candidate screening matrix leveraging MinHash and Locality-Sensitive Hashing (LSH) to handle
Hybrid code similarity analyzer, detect Java source code clones and structural plagiarism instantly. By leveraging AST-aware hybrid scoring, LCS alignment, and tokenized K-gram Winnowing, CodeSniff uncovers Type 1–4 clones even when logic is heavily disguised.