Releases: tomasanchez/heimdallr
v1.1.1
v1.1.1
What's changed?
- Set up
docker-composeyou push a button (enter afterdocker-compose up), and we do the rest. - ML training script for topic recognition
- DB migration with training db
- JupyterNotebook Analysis
Full Changelog: v1.1.0...v1.1.1
v1.1.0
Contributors
Assets 2
v1.0.1
Contributors
Assets 2
v1.0.0
Heimdallr
Heimdallr is A powerful and intelligent plagiarism detection system designed to uphold academic integrity and ensure the authenticity of written works.
Inspired by the mythological figure Heimdallr, the all-seeing, known for his unwavering vigilance. Its advanced detection capabilities and user-friendly interface result in the ultimate solution for educational institutions, researchers, and students to maintain the highest standards of academic honesty and originality.
This plagiarism detector application was developed as an assignment for Natural Language Processing course from Universidad Tecnologica Nacional, Facultad Regional Buenos Aires during the second semester of 2023.
Key Features
- Comprehensive Plagiarism Detection: Heimdallr scans through a vast array of sources, including web content,
books, papers, photographs, and previous student works, leaving no room for undetected plagiarism. - Precise Location Identification: It doesn't just flag potential instances of plagiarism; Heimdallr provides
pinpoint accuracy by highlighting the exact lines or words in question, enabling users to swiftly address the issue. - Source Attribution: The system not only detects plagiarism but also identifies the source that is being
plagiarized, whether it's a website, a specific publication, or the work of another student.
New Contributors
- @tomasanchez made their first contribution in #1
Full Changelog: https://github.com/tomasanchez/heimdallr/commits/v1.0.0