Challenge/response spam shield for TYPO3 ext:form

🛡️ PR Swarm Shield: Protect your repos from spam PRs by first-time contributors sent by YouTubers/influencers

Python-powered Gmail spam filtering application with advanced content analysis and real-time web monitoring capabilities

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erine.email is a strong shield for your emails against spam, based on unlimited disposable email addresses

The Spam Detector for Email and SMS is a software tool that analyzes messages sent via email or SMS to identify and filter out spam. It uses machine learning algorithms to scan messages and determine whether they are spam or not, based on a variety of factors.

Use the power of Akismet to Shield your Craft CMS site from Spam

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Streamlit app that detects email spam in real-time using a TF-IDF + ML pipeline. Features confidence scoring, spam categorization, and a built-in feedback system for improving model accuracy.

🤖🛡️SpamShield - AI-powered Email & SMS Spam Classifier with Safe Reply Generation | Built using Python, Streamlit, and ML (TF-IDF + Naive Bayes)

SpamShield is a lightweight, elegant web-based application that leverages machine learning to detect and classify SMS and text messages as either Spam or Not Spam in real time.

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SMS spam classifier

Spam Shield is a machine learning-based web application that classifies emails as spam or ham (not spam). It uses three different machine learning models to ensure accurate classification and is built with Streamlit for an interactive web interface.

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Rest APIs for the mobile app which tell you if a number is spam, or allow you to find a person’s name by searching for their phone number.

SpamShieldAI is a web-based application that leverages artificial intelligence to detect and block spam across multiple communication channels. By combining natural language processing, machine learning classifiers, and real-time analysis, the system provides adaptive and robust protection against unsolicited or malicious content.

SpamShield — Lightweight plugin that blocks repeated spam messages in Minecraft chat.

SpamShield is a machine learning–based text classification project designed to automatically identify whether a message is Spam or Ham (Not Spam). The system uses Natural Language Processing (NLP) techniques and classification algorithms to analyze text messages and accurately detect unwanted spam communications.

SpamShield is a cutting-edge content filtration project that stands as a formidable defense against unwanted spam across various digital platforms. Leveraging powerful machine learning algorithms, SpamShield intelligently identifies and filters out spam, ensuring a clutter-free and secure online experience.

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This project develops an SMS spam detection system using a fine-tuned IndoBERT model for classifying Indonesian messages as Ham or Spam. It aims to improve accuracy and adapt to emerging spam tactics in real-world applications.

Android app frontend for SpamShieldAI using FastAPI backend

Asterisk plugin to protect your PBX/VoIP gateway from spam calls

The AI Spam Shield Plugin is an advanced WordPress plugin designed to enhance your website’s security by using artificial intelligence to detect and block spam comments effectively.

Backend service for AI Anti-Spam Shield

A machine learning initiative aimed at identifying spam text messages by utilizing natural language processing (NLP) and various classification algorithms.

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