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The Full Stack Fake News Detection Using Machine Learning project aims to develop a comprehensive solution for detecting fake news articles using machine learning algorithms. Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials

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Full Stack Fake News Detection Using Machine Learning

The Full Stack Fake News Detection Using Machine Learning project With Code, Documents And Video Tutorial

Fake News detection

Abstract:

This project presents a full-stack fake news detection system using machine learning algorithms. The system collects news articles, extracts features, trains a machine learning model, and classifies news articles as fake or real. The proposed system utilizes natural language processing techniques and supervised learning algorithms to achieve high accuracy in fake news detection. The system is deployed as a web application, providing a user-friendly interface for users to classify news articles.

Keywords: Fake News Detection, Machine Learning, Natural Language Processing, Supervised Learning, Web Application, Text Classification, Misinformation Detection

Project include:

  1. Synopsis

  2. PPT

  3. Research Paper

  4. Code

  5. Explanation video

  6. Documents

  7. Report

Need Code, Documents & Explanation video ?

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The Full Stack Fake News Detection Using Machine Learning project aims to develop a comprehensive solution for detecting fake news articles using machine learning algorithms. Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials

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