Syntax checker for mail sieves.

Email filters for Proton Mail and other providers accepting SIEVE filters. These filters are to block/discard known spam domains.

This project represents a system for the automatic classification of incoming emails using Google's Gemini model. It connects to an IMAP server, processes emails, classifies them, and moves them to appropriate folders based on their content.

🇩📧️2️⃣️⌛️📖️ The official documentation source repository for the DMAIL implementation of the EMAIL 2 Sieve Filter specification, adding support for Sieve language filters to the DMAIL Email client.

ElectroPuppy – Experimental Hotmail/Outlook email authentication checker built with Electron.js & Puppeteer.js. Featuring real-time results, concurrent processing, and email filtering in a portable app.

🇩📧️2️⃣️⌛️💾️ The official source repository for the DMAIL implementation of the EMAIL 2 Sieve Filter specification, adding support for Sieve language filters to the DMAIL Email client.

Automate your email workflow with this intelligent agent system. Features include email ingestion, filtering, summarization, action item extraction, and customizable notifications via various channels. Powered by LangChain, LangGraph, and Gemini 1.5 Flash.

AI-powered Gmail classification system using local Ollama LLM inference. Privacy-first email triage with modular YAML profiles, cryptographic audit trails, and enterprise-grade security.

The Email List Filtering Program is a C language program designed to validate and filter a list of email addresses. It ensures that each email address in the provided text file is valid and exists. The program helps to identify and remove fake or incorrect email addresses from the list, ensuring that the remaining email addresses are valid and reac

Utility script for rspamd spam and ham training.

A Secure Desktop Tool That Reads My Inbox and Flags Job Updates; So I don’t waste time checking every email.

A machine learning project that uses Logistic Regression to classify emails as spam or not spam based on their content and metadata. The model is trained on labeled email data using text preprocessing techniques and converts text into numerical features to accurately detect unwanted messages.

Random Scripts in Multiple Language

Automate your email workflow with this intelligent agent system. Features include email ingestion, filtering, summarization, action item extraction, and customizable notifications via various channels. Powered by LangChain, LangGraph, and Gemini 1.5 Flash.

The Email Filter Client is a selfhosted tool designed to connect to multiple IMAP email accounts, process incoming emails, and filter messages based on a blacklist.

This project builds an intelligent email filtering system to detect spam using NLP and supervised learning. It preprocesses text, extracts features, trains models (Decision Tree, Naïve Bayes, SVM), evaluates performance, and offers a Streamlit interface for real-time email classification.

Pending rename. Automatic sorting, filtering, and condensing of emails across an arbitrary number of remote servers

This repository contains various machine learning models for spam detection. These models can be used for email or text-based spam detection in different applications.

Lightweight Gmail filter automation using Apps Script (clasp): label Cognos reports and auto-archive. This addresses a limitation of default Gmail filters.

SpamShield is a Flask-based web application that employs machine learning to swiftly identify and flag spam content in emails and text messages, offering users real-time protection against unwanted solicitations. With an intuitive interface and privacy-conscious design, SpamShield ensures efficient spam detection while safeguarding user privacy