Fake-News-Detector and Fake-News-Detection-using-MachineLearning

These two tools are competitors, as both are independent projects providing a complete NLP and machine learning pipeline for fake news detection, making it unlikely they would be used in conjunction.

Fake-News-Detector
36
Emerging
Fake-News-Detection-using-MachineLearning
34
Emerging
Maintenance 6/25
Adoption 8/25
Maturity 13/25
Community 9/25
Maintenance 0/25
Adoption 7/25
Maturity 8/25
Community 19/25
Stars: 53
Forks: 4
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
Stars: 35
Forks: 19
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: —
No Package No Dependents
No License Stale 6m No Package No Dependents

About Fake-News-Detector

AmirhosseinHonardoust/Fake-News-Detector

A complete NLP and Machine Learning project to detect fake and real news using TF-IDF and Logistic Regression. Includes full training pipeline, evaluation charts, and an interactive Streamlit web app for real-time credibility analysis. Dataset adapted from Kaggle’s Fake and Real News Dataset.

About Fake-News-Detection-using-MachineLearning

abiek12/Fake-News-Detection-using-MachineLearning

Fake News Detection using Machine Learning is a comprehensive project that utilizes machine learning and natural language processing techniques to identify and classify fake news articles. The project includes data analysis, model training, and a real-time web application for detecting fake news.

Related comparisons

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