Skip to content

SMS Spam Classification is an automated system that uses machine learning to distinguish between legitimate text messages (Ham) and unwanted, potentially harmful spam messages. It enhances user experience This technology is integrated into mobile apps, making it easy to filter out spam in real-time.

Notifications You must be signed in to change notification settings

attaelahi/Spam-SMS-Classification

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 
 
 
 
 

Repository files navigation

SMS-Spam-Classification

SMS Spam Classification is an automated system that uses machine learning to distinguish between legitimate text messages (Ham) and unwanted, potentially harmful spam messages. It enhances user experience This technology is integrated into mobile apps, making it easy to filter out spam in real-time.

You can test the App using this Link

https://spam-sms-classification-ovg66muwdtg5geyxcxobom.streamlit.app/

Here is the screenshot

Screenshot

About

SMS Spam Classification is an automated system that uses machine learning to distinguish between legitimate text messages (Ham) and unwanted, potentially harmful spam messages. It enhances user experience This technology is integrated into mobile apps, making it easy to filter out spam in real-time.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages