Built a fully automated multi-platform

Built a fully automated multi-platform content publishing system that transforms a single Telegram video into ready-to-publish content across multiple social media platforms.

The system automates the entire workflow — from receiving a video through Telegram to generating captions, processing content with AI, and automatically uploading posts to platforms like YouTube, Instagram, X, and Reddit.

One of the key features was creating a complete review and approval flow directly inside Telegram, allowing users to approve or manage content before publishing without needing separate dashboards or tools.

Key contributions:

• Built an end-to-end automated content pipeline using Python and workflow automation tools

• Integrated Whisper for speech-to-text transcription with OCR fallback support for extracting text from videos when needed

• Used local LLMs with Ollama and Llama 3 to generate captions and social media content automatically

• Automated browser-based uploads across multiple platforms using Playwright

• Developed Telegram-based controls for content review, approval, and publishing workflows

• Designed the system to run fully locally without relying on paid AI APIs

Tech stack: • Python • Playwright • Whisper • Ollama • Llama 3 • Telegram Bot API • OCR Processing • Browser Automation • AI Content Pipelines

This project strengthened my experience in AI-powered automation, browser scripting, local AI workflows, and scalable multi-platform content automation systems.