#Fake_News_Detection

#Dataset used for this project is available on Kaggle.

#This project classifies news articles as Real or Fake using Machine Learning & NLP techniques.

#Features:-

-> Detects Fake vs. Real News using Machine Learning

-> Uses TF-IDF Vectorization for text processing

-> Trained on Fake and Real News Dataset from Kaggle

-> Achieves 99% accuracy with Logistic Regression

-> Supports easy dataset preprocessing & model training

#Technologies Used:-

-> Python

-> Scikit-Learn (Logistic Regression, Naïve Bayes)

-> Natural Language Processing (NLP)

-> Pandas, NumPy

-> TF-IDF Vectorization

#Future Improvements:-

-> Add Deep Learning (LSTM, BERT) for better generalization

-> Implement a Web App (Flask/Streamlit) for live fake news detection

-> Train on larger & more diverse datasets