BERT-based AI-generated academic text detection model
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Updated
Nov 1, 2025 - Python
BERT-based AI-generated academic text detection model
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A full-stack coding test platform with real-time code submission, plagiarism detection, and auto-evaluation using Judge0. Built with Next.js, Firebase Auth, and MongoDB. Designed to help educators ensure academic integrity.
AI-powered document originality and plagiarism risk detection system combining semantic similarity (SBERT), stylometric analysis, and citation masking for explainable, multi-layered originality scoring.
A robust Python CLI tool for precise plagiarism detection and text similarity analysis across documents. Utilizes advanced cosine similarity algorithms to identify intellectual overlap, ensuring content originality and integrity for academic, research, and professional applications.
Analyzes text documents for readability, academic integrity, and linguistic insights via REST API.
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Real-time Big Data Analytics system for academic integrity detection using Kafka, Spark, MongoDB, Airflow, Redis, and Grafana. Detects AI usage, collusion, and suspicious behavior with live dashboards and automated workflows.
Analyzes academic documents for citation integrity and suspicious patterns using React frontend.
Smart academic dashboard for analyzing and verifying the originality of university projects using AI-powered insights.
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C-PlagAST is a code plagiarism detection tool for C programs using the AST-CC algorithm. It normalizes and compares abstract syntax trees to detect structural similarity, even with reordered or renamed code. Ideal for academic use in detecting hidden code duplication.
repositorio que documenta las inconsistencias en el analisis de la base de datos presentada por el Programa de Poltica de Drogas del CIDE
A Twine game about three real people who didn't get the credit they deserved, and why that should matter to undergraduate college students.
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A reflective essay by Peter Kahl on the fight against institutional injustice, the silence of journalism, and why courageous researchers must persist—even without a smoking gun.
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