AI & Content Automation•YouTube Channel Network•2024
YouTube Multi-Agent Analytics and Content Automation
Multi-agent system for YouTube channel network that analyzes performance across Spanish, English, and Russian markets and automates content optimization.
50+Channels Analyzed
3Languages
Multi-AgentAI System
AutomatedContent Research
Python · YouTube Data API · LangChain · Claude · React · PostgreSQL · Redis · Celery
Deep Dive
The project was implemented in three stages over five months, building from data collection through analytics to automated content generation.
| Stage | Focus Area | Status | Key Deliverables |
|---|---|---|---|
| 1 | Data Collection & Analytics | Completed | YouTube API integration, video metadata extraction, engagement metrics processing, audience demographics analysis, cross-channel data warehouse |
| 2 | Multi-Agent System | Completed | Six specialized AI agents, pattern recognition algorithms, trend detection, performance prediction models, content recommendation engine |
| 3 | Dashboard & Automation | Completed | Real-time analytics dashboard, automated content suggestions, A/B testing framework, scheduling optimization, performance tracking |
