Email-Spam-Detection

• An advanced email Spam detection system using machine learning for text-based spam filtering.
• By employing CountVectorizer, TfidfVectorizer, and various machine learning models including logistic regression, naive Bayes, k-nearest neighbors, random forest, and support vector machines (SVC), incoming messages are analyzed for their likelihood of being spam.
• The system processes and categorizes these messages to ensure that only non-spam content reaches users' inboxes, providing a robust defense against unwanted communication and email spoofing.
• You can also detected whether your recent email is spam or not!

Tools

• Google Colab for Model Training
• VS Code for Website deployment
• GCP console

Future

• More models can be added
• More Apis can be integrated