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Email spam detection web interface

Machine Learning

Email Spam Detection

Role
ML Developer

An academic machine learning project that trains an artificial neural network on a public email dataset to classify messages as spam or ham. Python powers the model training and inference pipeline; Django serves a simple HTML interface so users can paste email text and see predictions in the browser.

Keynotes

  • Trained an artificial neural network on a public spam/ham email dataset in Python.
  • Evaluated model accuracy and tuned inputs for reliable binary classification.
  • Connected the model to a Django app with an HTML UI for live predictions.

Technologies

  • Python
  • Artificial Neural Networks
  • Django
  • HTML
  • Machine Learning