Spam detection systems play a crucial role in safeguarding our digital communication channels from unwanted, fraudulent, or malicious content. This SMS/Email Spam Detection Web Application is designed to help users identify and filter out spam messages, whether they arrive via text messages or emails.
In an era where digital communication is essential, the volume of unsolicited and potentially harmful messages has surged. Spam emails and SMS messages can range from annoying marketing promotions to phishing attempts and malware delivery. An effective spam detection system is essential for recognizing and filtering out these spam messages.
- Python, pandas and numpy
- Streamlit
- MultiNominal Naive bayes machine learning algorithm
- nltk library
- sci-kit learn, ect
To access the web app follow link- https://text-spam-detection-system-8oqenhhkagkzpcg7yxfx96.streamlit.app/