🚀 Graduation Project Completed
Fake News Detection using Machine Learning I’m excited to share my graduation project: Fake News Detection 🎓 🔍 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