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/

Author

• Niladri Chatterjee

Contributors

• Niladri Chatterjee - If others have contributed to this project, consider adding their names here.

License

You can specify the license under which you want to distribute your project. If it's open source, you can use a popular license like MIT or Apache 2.0.

Acknowledgments

Mention any libraries, tools, or resources that you used or were inspired by in your project here.

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