SmartMailGuard (Spam Email Detector)

Overview

The Spam Email Detector is a web application built with Django that leverages machine learning to classify emails as either spam or ham. This project utilizes a trained classifier model saved using joblib, which predicts the category of the email based on user input. The application features a sleek, hacker-themed interface, making it both functional and visually engaging.

Features

• User-Friendly Interface: An intuitive form for users to input email text and receive classification results.
• Real-Time Classification: Users can check if an email is spam or ham in real time using the trained machine learning model.
• Responsive Design: The application is styled for a professional look with a hacker aesthetic.
• Color-Coded Results: Spam emails are highlighted in red, while ham emails are displayed in green for easy identification.

Technologies Used

• Django
• Scikit-learn
• Joblib
• HTML/CSS
• Bootstrap (for styling)

Installation

To run the application locally, follow these steps:

1. Clone the repository:

   git clone https://github.com/yourusername/spam-email-detector.git
   cd spam-email-detector
   

2. Install the required packages:

   pip install -r requirements.txt
   

3. Run the development server:

   python manage.py runserver

4. Access the application in your web browser at

   http://127.0.0.1:8000/classifier/classify/

Usage

• Enter the email text in the provided input field and click "Check Email."
• The application will display whether the email is classified as spam or ham. Contributing