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Spam Mail Classification

Web page visual

Description

The Spam Mail Classification project is a web-based application that uses machine learning to classify emails as spam or ham. It features a Flask backend, a frontend created with HTML, CSS, and JavaScript, and a MySQL database for storing user data and email classifications. alt text

Features

  • Email Classification: Categorizes incoming emails as spam or ham.
  • User Registration and Login: Secure account creation and authentication.
  • Real-Time Email Classification: Classifies emails in real time.
  • User Dashboard: Users can view their email history and classifications.
  • Machine Learning Model: Employs a trained model to classify emails.
  • Customization: Users can configure spam filter settings.

Technologies Used

  • Flask (Python Web Framework): For the backend server.
  • HTML, CSS, and JavaScript (Frontend): For the user interface.
  • MySQL (Database): For storing user data and email classifications.
  • Machine Learning Libraries (e.g., Scikit-Learn): Used to build and deploy the email classification model.

Getting Started

To use the Spam Mail Classification app, follow these steps:

  1. Clone this Repository: Get the project source code by cloning this repository to your local machine.

  2. Set Up the Flask Backend and MySQL Database:

    • Refer to the documentation or instructions provided in the code for setting up the Flask backend and MySQL database.

  3. Install Required Python Packages:

    • You'll need to install a few Python packages using pip. Open your terminal and run:
    pip install Flask
pip install nltk
pip install mysql-connector-python

  4. Create a MySQL Database and Table:

    • Set up the MySQL database and table by running the following SQL commands in your MySQL server:
    CREATE DATABASE smc;
    USE smc;
    CREATE TABLE users (
    id INT AUTO_INCREMENT PRIMARY KEY,
    full_name VARCHAR(255) NOT NULL,
    username VARCHAR(255) UNIQUE NOT NULL,
    email VARCHAR(255) UNIQUE NOT NULL,
    phone VARCHAR(15) NOT NULL,
    password VARCHAR(255) NOT NULL
);

  5. Run the Flask App:

    • Start the Flask app by running the following command in your terminal:
    python app.py
    • Goto browser to open this website in Localhost:
    http://127.0.0.1:5000/

The HTML template is taken from https://html.design/ .