Spam Mail Classification

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.

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/ .