Fake News Detection Using NLP

Fake News Detection is an NLP-based machine learning project that automatically identifies whether a news article, headline, or online content is genuine or fake.

The system analyzes textual content using Natural Language Processing techniques and machine learning algorithms to detect misleading, false, or manipulated information. This helps users verify news credibility and combat the spread of misinformation across digital platforms.

Objectives

• Detect fake and genuine news articles automatically.
• Analyze news content using NLP techniques.
• Improve information reliability and credibility.
• Reduce the spread of misinformation.
• Assist users in verifying online news authenticity.

• Synopsis
• Project Report
• Presentation
• Viva Questions and Answers
• User Manual
• Code