Our project is fake news detection using machine learning. Fake news spreads misinformation,  influencing  public opinion and societal harmony. This project employes  a multilayer perceptron (MLP) to classify news as authentic or fake. Text data undergoes cleaning, tokenization, and numerical conversion for feature extraction. The MLP is trained using back propagation and evaluated with accuracy,  precision, recall and F1-score. 

Keywords: Machine learning, Natural language processing(NLP), social media analysis, text analysis,  misinformation detection,  data cleaning, feature extraction.