A search query is processed using NLP after which the results are displayed by crawling the web for relevant web pages & displaying them after normalizing the scores
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Updated
Oct 23, 2016 - Python
A search query is processed using NLP after which the results are displayed by crawling the web for relevant web pages & displaying them after normalizing the scores
KMP string search algorithm implemented in Python
Group project 1 from the course Advanced Algorithms
A multi-layered plagiarism detection engine utilizing KMP, Rabin-Karp, and TF-IDF Cosine Similarity.
A high-performance Python library for single and multiple pattern searching, optimized for bioinformatics and large-scale text analysis
A comprehensive collection of code solutions for LeetCode and Codeforces problems, designed to enhance your competitive programming skills and help you tackle coding challenges with confidence.
A python utility to provide "ctrl-f" search functionality for images. Won best hack for education McHacks 2022 (@hackmcgill).
Programming solutions to Rosalind bioinformatics and computational biology exercises.
Match patterns between different strings and display the number of comparisons for each pattern
Plagiarism Detector using String Matching algorithms — compares text documents using KMP, Naive & Rabin-Karp algorithms with Jaccard/Cosine similarity and a Flask web interface.
A package-like tool that analyzes protein sequences, categorizes a protein of interest into one of two groups, predicts secondary structure based on dihedral angles/Ramachandran plots and Chou and Fasman's statistical propensity method, and does pattern search by Naive, KMP, and Bayer-Moore
Algorithmic implementations for pattern matching, suffix trees, suffix arrays, and string processing (UC San Diego).
Design and Analysis of Algorithms (CLRS ALGO) in Python
Automated CV screening tool implementing Brute Force, Rabin-Karp, and KMP string matching algorithms from scratch — with performance benchmarking on 1000+ resumes
A DSA-based plagiarism detection system using Naive String Matching, KMP, and Rabin-Karp algorithms with a Streamlit dashboard for document comparison and similarity analysis.
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
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