The Spam Email Detection System is a machine learning-based application designed to classify emails as spam or not spam. It uses Natural Language Processing (NLP) techniques to analyze the content of emails and applies the Naive Bayes algorithm for efficient and accurate prediction. The system helps in filtering unwanted or potentially harmful emails, improving user security and productivity. This project demonstrates the practical application of machine learning concepts such as data preprocessing, feature extraction, and model evaluation in solving real-world problems.