Babwazifa Automation —Wordpress AI-Powered Job Publishing & Content Operations System

Overview

Babwazifa Automation is a complete content operations platform built for automating Arabic job publishing workflows. The system collects job announcements from multiple sources, extracts structured job data, rewrites and enhances the content using AI, then prepares it for publishing across WordPress and Telegram. The platform is designed around real publishing needs: clean Arabic formatting, SEO-ready WordPress posts, accurate Telegram summaries, smart classification for different announcement types, and background automation for continuous production use. It handles jobs, training programs, employment training, university registration, admission results, courses, and diplomas, while applying strict rules to avoid duplicated information, incorrect labels, fake salary claims, or misleading call-to-action text.

About the Project

An AI-powered automation platform that collects job announcements, rewrites and classifies content, publishes to WordPress, and generates clean Telegram posts with strict presentation rules.

Tech Stack

Results & Impact

The platform automates the full publishing workflow from source collection to final distribution, reducing manual work and improving publishing speed. It produces consistent, professional Arabic content for both WordPress and Telegram, with rules that preserve accuracy and avoid invented information. Telegram publishing became cleaner and safer: job posts show the right details, cities are not repeated, salary wording is controlled, and each content type gets the correct action label. The system is production-ready with Docker services, PostgreSQL storage, a background worker, WordPress publishing integration, Telegram publishing support, and automated tests covering the most sensitive content rules.