This project is an end-to-end Email Spam Detection System that classifies email messages as Spam or Not Spam (Ham) using Machine Learning. The model is deployed via a Flask web application, allowing users to test emails through a browser interface.

This repository contains an implementation of a spam detection model using Word2Vec for text representation and Logistic Regression for classification. The model is trained to classify messages as spam or not spam based on their content.