This tutorial is a comprehensive guide to building an SMS spam detection web application using Python, Flask, and the Vonage SMS API. The application uses a machine learning model trained on a dataset of labeled SMS messages to classify new incoming messages as spam or ham. The tutorial covers the setup of the project, data preprocessing, feature engineering, model training, and deployment in a Flask web application. It also includes explanations of various machine learning algorithms and techniques used throughout the process.