Email/SMS Spam Classifier

Detect Email/SMS Spam with Machine Learning! This Streamlit web app predicts whether a given message is spam or not. Powered by a trained machine learning model, it preprocesses the input text, applies feature extraction techniques, and then classifies it using Natural Language Processing (NLP) algorithms. Enjoy a seamless experience with mobile-friendly UI and lightning-fast predictions!

Table of Contents

• Demo
• Features
• Technologies Used
• Installation
• Usage
• Contributing
• License

Demo

Check out the live demo here!

Features

• Input any text message to classify it as spam or not.
• Mobile-friendly UI for a seamless experience on any device.
• Lightning-fast predictions powered by machine learning.
• Preprocessing and feature extraction done in the backend.
• Easily customizable for your specific use case.

Technologies Used

Installation

1. Clone the repository:

   git clone https://github.com/your_username/your_repository.git

2. Navigate to the project directory:

   cd your_repository

3. Install the required dependencies:

   pip install -r requirements.txt

Usage

1. Run the Streamlit app:

   streamlit run app.py

2. Open your web browser and go to http://localhost:8501 to view the app.

3. Enter any text message in the input field and click the "Predict" button to classify it as spam or not.

Contributing

Contributions are welcome! Please feel free to open a pull request or submit an issue with any suggestions or improvements.

License

This project is licensed under the MIT License.