SabkaCode
AI / MLFreeDemo data

Fake News Detection

An ML model that classifies news articles as real or fake.

Pythonscikit-learnPandasNLTK
Fake News Detection — screenshot 1Fake News Detection — screenshot 2

Project Overview

A machine learning-based application designed to analyze news articles and predict whether the provided content is likely to be real or fake. The system processes the text using natural language processing techniques and applies a trained machine learning model to classify the news. It provides a simple interface where users can enter or submit news content and receive the predicted result, making it suitable for demonstrating practical applications of NLP and machine learning.

Features

  • Enter and analyze news article text
  • Predict whether the news is likely to be real or fake
  • Text preprocessing using NLP techniques
  • Machine learning-based text classification
  • Trained model for fake news prediction
  • Simple and user-friendly interface
  • Display prediction results clearly
  • Process and analyze news text efficiently
  • Model and dataset included with the project
  • Suitable for demonstrating practical NLP and machine learning concepts

Project Information

Type
major
Difficulty
advanced
Category
AI / ML

Available Files

Sponsored

HP OmniBook 5 OLED (Previously Pavilion), Snapdragon X Processor 45 Tops (16GB LPDDR5x, 1 TB SSD), 2K 14''/35.6cm, Win11, Office24, Silver, 1.29kg, he0015QU, Multi-Day Battery, AI Laptop

HP OmniBook 5 OLED (Previously Pavilion), Snapdragon X Processor 45 Tops (16GB LPDDR5x, 1 TB SSD), 2K 14''/35.6cm, Win11, Office24, Silver, 1.29kg, he0015QU, Multi-Day Battery, AI Laptop

HP OmniBook 5 OLED (Previously Pavilion), Snapdragon X Processor 45 Tops (16GB LPDDR5x, 1 TB SSD), 2K 14''/35.6cm, Win11, Office24, Silver, 1.29kg, he0015QU, Multi-Day Battery, AI Laptop

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