๐Ÿš€ Graduation Project Completed
Fake News Detection using Machine Learning
Iโ€™m excited to share my graduation project: Fake News Detection ๐ŸŽ“
๐Ÿ” Project Overview
In an age of misinformation, detecting fake news is more important than ever. This project leverages machine learning models (Gradient Boosting, XGBoost, SVM, etc.) and a Flask-based web interface to classify news articles as real or fake based on their content.
๐Ÿง  Key Features
  • End-to-end ML pipeline (data cleaning, TF-IDF vectorization, model training)
  • Evaluation of multiple classifiers
  • Simple web app for real-time article analysis
  • Open-source and easy to extend
๐Ÿ› ๏ธ Tech Stack
Python, Flask, HTML, Scikit-learn, Pandas, XGBoost
๐Ÿ“ Check out the GitHub repo:๐Ÿ‘‰ github.com/Rodwanbagdadi/Fake_News_Detection
Iโ€™d love to hear your thoughts, feedback, or suggestions. Feel free to fork, star โญ, or contribute!
#MachineLearning #FakeNewsDetection #NLP #FlaskApp #GraduationProject #AI #OpenSource #Python
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Rodwan Baghdadi
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