The Spam Email Classifier is a Python-based machine learning application that detects whether a message is Spam or Not Spam using Natural Language Processing techniques. The project uses TF-IDF vectorization for feature extraction and a Logistic Regression model trained on the SMS Spam dataset, achieving approximately 95–97% accuracy. It includes a modern Tkinter-based GUI that allows users to enter messages and receive real-time predictions with probability scores. This project demonstrates practical skills in NLP, supervised learning, and desktop application development.