AmirhosseinHonardoust / Fake-News-Detector
A professional TF-IDF + Logistic Regression style-risk classifier for educational fake-news detection, with a Streamlit dashboard, honest evaluation, uncertainty handling, and leakage analysis.
Why this job: works in the areas we cover, but does not say which job it does
What it does
- TF-IDF vectorization with word n-grams for text feature extraction
- Logistic Regression baseline classifier
- Pipeline-embedded TextCleaner so training and inference clean text identically (no train/serve skew)
- REAL / FAKE / UNCERTAIN output with a configurable uncertainty band
- Dataset leakage report with a "contains Reuters" heuristic
Get started
pip install -r requirements.txt- Maintenance
- Active
- Last commit 2 months ago
- Stars
- 113
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 99% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- None
- No issues filed
- Pull requests
- 7 merged
- 0 waiting
- Releases
- None
- Never published
- No contributing guide
- Security policy (opens in new tab)
- No code of conduct
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| Repo | Stars | Last commit | Licence | Downloads for |
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| streamlit / streamlit | 46,328 | 3 days ago | Apache-2.0 | No downloads |
More: languages, topics and project record
Languages
- Python 99%
- Makefile 1%
Topics
- ai-project
- data-science
- data-visualization
- fake-news-detection
- kaggle-dataset
- logistic-regression
- machine-learning
- misinformation
- news-analysis
- nlp
- portfolio-project
- python
Project record
- JobOther AI tools
- StatusListed
- Commits80
- Forks19
- Watching0
- Stars in 28 days+1
- CreatedOct 25, 2025
- First seen by usNov 7, 2026
- CheckedNov 8, 2026