This project aims to detect fake news articles using Natural Language Processing (NLP) and Machine Learning techniques. The system analyzes textual patterns to classify news as real or fake.
To build an automated fake news detection system that improves accuracy and reduces misinformation spread.
- Text preprocessing (tokenization, stopword removal)
- Feature extraction using TF-IDF
- Classification using Machine Learning models
- Web-based interface for live demonstration
The proposed model achieves higher accuracy compared to traditional approaches.
Open demo.html to test the fake news detection interface.
- University: Manipal University Jaipur
- Department: Computer Science & Engineering
- Course: PBL
- Year: 2026
- Name: Shreyaan Datta
- Registration No: 2427030679