Google's new Graph Foundation Model delivers up to 40 times greater precision and has been tested at scale on spam detection.

The number of people using mobile devices increasing day by day. SMS (short message service) is a text message service available in smartphones as well as basic phones. So, the traffic of SMS ...

Spammers used OpenAI to generate messages that were unique to each recipient, allowing them to bypass spam-detection filters and blast unwanted messages to more than 80,000 websites in four months ...

🚀 Project Overview This SMS Spam Classifier is a machine learning application that detects whether a given SMS message is Spam or Not Spam (Ham). It is built using Natural Language Processing (NLP) ...

Objective The primary goal is to apply various machine learning algorithms (Naïve Bayes, Support Vector Machines, Logistic Regression, Random Forest, and K-Nearest Neighbors) to address the SMS spam ...