Jun 9 • 🥇 Wins
🚀 Graduation Project Completed
Fake News Detection using Machine Learning
🔍 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.
🧠 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
🛠️ Tech Stack
Python, Flask, HTML, Scikit-learn, Pandas, XGBoost
📁 Check out the GitHub repo:👉 github.com/Rodwanbagdadi/Fake_News_Detection
I’d love to hear your thoughts, feedback, or suggestions. Feel free to fork, star ⭐, or contribute!
#MachineLearning #FakeNewsDetection #NLP #FlaskApp #GraduationProject #AI #OpenSource #Python
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🚀 Graduation Project Completed
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