SMS Spam Detection Using ML & DL

I built a machine learning model to detect and filter spam SMS messages with an accuracy of 97%.

(SMS Spam Detection Using ML & DL)

This project focuses on enhancing communication security by automatically identifying and blocking unwanted or fraudulent messages achieving impressive accuracy and reliability.

Project Goal🎯 ;

The main goal of this project is to develop an intelligent system that can automatically detect and filter spam SMS messages using Machine Learning and Deep Learning techniques.

It aims to:

• Protect users from fraudulent or malicious content.

• Reduce the number of unwanted messages in users’ inboxes.

• Improve digital communication security and overall user experience.