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.

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.

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.

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.

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

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 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

Random Scripts in Multiple Language

Utility script for rspamd spam and ham training.

🇩📧️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.

🇩📧️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.

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.

A high-performance Python tool for filtering and sorting massive email lists by domain.

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

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 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.

This project focuses on building a classifier to distinguish between spam and ham emails using Logistic Regression. Key steps include data preprocessing, feature extraction with TF-IDF vectorization, and model evaluation with accuracy metrics and a confusion matrix.