Content automation for Telegram

AI & Machine Learning
Job 9 of 11
The project automates the preparation and delivery of daily messages to a Telegram group.

The system was created to eliminate routine weekly preparation, maintain a consistent message format, and ensure stable daily publishing.

Task:
Manual message preparation each week included repetitive steps: collecting and structuring content, formatting, translation (EN/LT), and tracking publications. This took time and increased the risk of mistakes or missed messages.

Process:

— At the beginning of the week, the system receives the schedule
— A structured weekly plan is created
— Daily messages (EN/LT) are generated and reviewed
— AI processing improves readability without changing the meaning
— Messages are saved and organized by day
— A daily script automatically sends the required message to Telegram

This separation between content preparation and publishing makes the system simple and reliable.

Implementation:

— Designed the content structure and automation pipeline
— Implemented automatic message generation and validation
— Integrated message delivery to Telegram
— Added error handling and fail-safe mechanisms
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