Spam or Ham Message Detection Model

Abstract: Correct identification of spam messages is a critical component of modern digital communication. With the rapid growth of mobile devices and instant messaging platforms, users are increasingly exposed to unsolicited messages that often contain phishing links, fraudulent schemes, or promotional content. These spam messages not only pose security threats but also result in time loss, decreased productivity, and potential financial damage. Therefore, developing automated systems capable of accurately detecting and filtering spam messages is essential for safeguarding users and maintaining the integrity of communication networks.