📰 Fake News Detection using Flask & Machine Learning

This is a web application that detects whether a given news article is Real or Fake using Natural Language Processing (NLP) and Machine Learning (Logistic Regression).

https://github.com/codedbyasim/FakeNewsDetection-Flask/blob/main/Home2.PNG

🚀 Features

• 🌐 Web interface built using Flask, HTML, CSS, and JavaScript
• 🧠 NLP-based text classification using TF-IDF and Logistic Regression
• ✅ Detects both titles and full article text
• 📊 Displays prediction with confidence and reasoning
• 💬 Flash messages and input validation

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🛠️ Technologies Used

• Python
• Flask
• Scikit-learn
• Pandas, NumPy
• TF-IDF Vectorizer
• HTML, CSS (Vanilla)
• NLTK (for text cleaning)

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📂 Folder Structure

FakeNewsDetection-Flask/
├── app.py
├── requirements.txt
├── README.md
├── model/
│   ├── fake\_news\_model.pkl
│   └── tfidf\_vectorizer.pkl
├── static/
│   └── style.css
├── templates/
│   ├── index.html
│   ├── check.html
│   └── result.html

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⚙️ How to Run Locally

1. Clone this repo:

   git clone https://github.com/your-username/FakeNewsDetection-Flask.git
   cd FakeNewsDetection-Flask