📰 Fake News Detector 🔍

This is a web-based Fake News Detection system built using Natural Language Processing (NLP) and an Artificial Neural Network (ANN). It classifies news articles as real or fake based on their content.

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🚀 Features

• Text preprocessing using NLP techniques
• ANN model for binary classification
• Simple web interface using Flask
• Easy deployment (Render/GitHub)

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🧠 Tech Stack

• Python
• Flask – Web Framework
• ANN (Artificial Neural Network) – For classification
• NLP – For text cleaning
• Scikit-learn, TensorFlow/Keras, Pandas, NumPy
• HTML, CSS – Frontend
• Render – Deployment

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🛠️ How to Run This Project Locally

1. Clone the Repository

git clone https://github.com/your-username/Fake-News-Detector.git
cd Fake-News-Detector

2. Create a Virtual Environment (optional but recommended)

python -m venv venv
source venv/bin/activate  # For Linux/macOS
venv\Scripts\activate     # For Windows

3. Install Dependencies

pip install -r requirements.txt

4. Run the Application

python app.py
Visit: http://127.0.0.1:5000/ in your browser.

5.🧹 Text Preprocessing (NLP)

Removing punctuation and stopwords

-Lowercasing

-Tokenization

-Lemmatization

6. 🧠 Machine Learning Model

Model Type: Artificial Neural Network

-Framework: Keras

-Trained on labeled fake/real news dataset

-Accuracy: 91.02%

• Fake News: Trump supporters and the so-called president s favorite network are lashing out at special counsel Robert Mueller and the FBI.
• Real News:- BRUSSELS (Reuters) - NATO allies on Tuesday welcomed President Donald Trump s decision to commit more forces to Afghanistan, as part of a new U.S. strategy he said would require more troops and funding from America s partners.

7. 📁 Folder Structure

├── model/             # Saved trained model
├── templates/         # HTML frontend
├── app.py             # Flask backend
├── render.yaml        # Deployment config
├── requirements.txt   # Python dependencies
└── .gitignore

Feel free to connect or contribute!