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Spamizard

Spamizard

2026-06
Scikit-Learn Flask Python

Spam meets Wizardry

Spamizard is a full-stack machine learning application designed to classify emails as Spam or Ham (Not Spam) and automatically generate intelligent replies.

The Model

  • **Algorithm**: Utilizes a Multinomial Naive Bayes classifier, which is highly effective for text classification tasks based on word frequencies.
  • **Feature Extraction**: Uses TF-IDF (Term Frequency-Inverse Document Frequency) vectorization to map textual email data into numerical features, heavily weighting unique words while discounting common stop-words.
  • **Training**: Trained on a robust dataset of over 5,000 labeled emails, achieving over 96% accuracy on unseen validation data.

    • The Web Interface

    The model is deployed via a **Flask** backend with a responsive, modern web interface. Users can paste in raw email content, and the server runs real-time inference to determine if the email is a threat or a genuine message. If it's genuine, the system provides an AI-assisted quick reply template.

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