The main objective of the SMS Spam Collection project is to develop a dataset that accurately classifies SMS messages as either spam or legitimate, facilitating the creation and evaluation of machine learning models for effective spam detection in text messages. By collecting and categorizing a large corpus of SMS data, the project aims to enhance spam filtering techniques and contribute to the improvement of communication security for mobile users.