AI_Project_news-classifier

Overview

AI_Project_news-classifier is a machine learning project that classifies news articles into multiple categories such as:

• Real News
• Health Misinformation
• Political Misinformation
• Clickbait
• Satire / Parody

The system uses text preprocessing, TF-IDF feature extraction, and a custom-built classification model implemented in Python.

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Project Objectives

• Build a news classification model from scratch
• Perform text preprocessing and cleaning
• Extract features using TF-IDF
• Train and evaluate a classifier
• Achieve high accuracy without using heavy ML frameworks

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Technologies Used

• Python
• NumPy
• Pandas
• Scikit-learn (for TF-IDF or evaluation if used)
• Matplotlib (for visualization)

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Project Structure