A web application to detect fake news headlines based on CNN model with TensorFlow and Flask.

A Fake News Detection System built with Neural Networks.

Fake News Detection using Machine Learning Algorithms and deploying using Flask

Exploring the Dual Role of AI: RNNs and BERT for Fake News Detection and LLMs for Fake News Generation

Thesis Project

Fake News Detection using Machine Learning is a comprehensive project that utilizes machine learning and natural language processing techniques to identify and classify fake news articles. The project includes data analysis, model training, and a real-time web application for detecting fake news.

fake news detection using passive Aggresive classifier

In this project I have created a fake news classifier based on the news title and author and got an 99.46% accuracy.

A web application used to determine fake news articles utilizing Machine Learning and Natural Language Processing.

fake news classification using MLP, LSTM and transformer

A fake/real news detection system using Sklearn, Django, JavaScript, HTML & CSS

detecting fake news using linguistic features. ML techniques ranging from hard and soft-clustering to fuzzy inference systems and neural networks. included FMID5 - Fuzzy Model Identification toolbox in MATLAB

Fake News Detection End to End project with deployment 🔥. distinguishes between authentic and fake news, contributing to media credibility. 🚀

This project involves an extensive exploration of fake news detection using machine learning techniques. It encompasses data preprocessing, feature extraction, model training, and evaluation to classify news articles as real or fake. Through thorough analysis and model validation, the project aims to provide valuable insights into the effectiveness

In this project, we have built a classifier model using NLP that can identify news as real or fake. For this purpose, we have used data from Kaggle.

Twitter Fake News Detection, Traffic Sign Classification, Clustering Synthetic Data