End-to-end automated pipeline for collecting, translating, filtering, and publishing news to Telegram channels.
The Telegram News Bot Automation System is designed to fully automate content curation for Telegram-based audiences. It integrates web scraping, AI translation, quota management, and scheduled posting into a single scalable system.
The purpose of this system is to automate Telegram news publishing from source collection through final delivery. Its scope includes scraping, translation, filtering, quota handling, scheduling, dashboard configuration, and publication tracking.
Articles are fetched from multiple sources and stored with metadata. They are filtered using category-keyword logic, translated if required, queued based on quotas, and dispatched through the Telegram bot. All actions are logged in the database for monitoring and auditing.
The architecture combines source ingestion, AI-assisted content processing, publishing queues, and an admin dashboard for runtime configuration. Administrators can manage sources, categories, keywords, API tokens, cookies, and quotas without redeploying the system.
Built for automated news channels, multilingual content pipelines, editorial automation, and Telegram publishing systems that need configurable scheduling and filtering.