News Classifier

Check out my live deployed project:
👉 News Classifier

Project Overview

This application uses Natural Language Processing (NLP) to automatically categorize Google News headlines into different topics. The system analyzes the content of headlines and assigns them to the most relevant category.

Technologies Used

• Flask: Lightweight web framework for Python
• Natural Language Processing: Text analysis and classification techniques
• Pre-trained Model: ML model trained on news headlines
• Render: Cloud hosting platform for the application

How It Works

1. The application fetches recent headlines from Google News
2. Each headline is processed and analyzed using NLP techniques
3. The pre-trained model predicts the most likely category
4. Results are displayed in an intuitive interface

Try It Yourself

Visit news-classifier.darrendarius.site to see the classifier in action!

Future Improvements

• Adding more news sources
• Improving classification accuracy
• Creating visualizations of trending topics
• Implementing user feedback mechanisms

Last updated: April 13, 2025