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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.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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