Spam calls aren’t just annoying, but they keep coming back and can escalate. You block one number, and another shows up. It may look local, familiar, and even seem legitimate at first glance. That’s ...

Abstract: In the era of digital transformation, the volume of textual data generated globally has escalated dramatically. This research focuses on the application of Natural Language Processing (NLP), ...

This project implements a context-aware spam detection system using Python. Unlike naive filters, it does not assume unknown senders are scammers. Decisions are made using behavior-based scoring and ...

Abstract: The growing use of mobile communication has given rise to the issue of spam SMS messages, which consistently threaten user security with potentially harmful content. This research presents a ...

An intelligent spam detection system that classifies SMS/email messages with 98.48% accuracy using machine learning. This project compares multiple algorithms and provides comprehensive performance ...