Automted Fake News Prediction

[Kiwi-520]

Closes:

Title: Fake News Prediction using Machine Learning
Your Name: Disha
Identify yourself: SWOC'25

Describe the add-ons or changes you've made 📃

I explored multiple models, including Logistic Regression, Decision Trees, Gradient Boosting, and Random Forests. After optimizing hyperparameters and preprocessing the text data using TF-IDF, I evaluated each model using classification metrics such as accuracy, precision, and recall. Finally, I visualized model performance through accuracy comparison and confusion matrices.

Checklist: ☑️

• [ x] My code follows the [Contributing Guidelines](https://github.com/Avdhesh-Varshney/AI-Code/blob/main/README.md) & [Code of Conduct](https://github.com/Avdhesh-Varshney/AI-Code/blob/main/CODE_OF_CONDUCT.md) of this project.
• [ x] This PR does not contain plagiarized content.
• [ x] I have performed a self-review of my own code.
• [ x] I have commented my code, particularly wherever it was hard to understand.
• [ x] My changes generate no new warnings.

Screenshots 📷

Working Video

FAKE.NEWS.2.mp4

Happy Coding 🎉

[github-actions]

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[Avdhesh-Varshney]

First update your forked repo. before raising your pr.