Automated AI Social Media Monitoring System

Project Overview Manual monitoring of social media trends and brand mentions was consuming 15+ hours of the team's weekly capacity. The goal of this project was to design and deploy an autonomous AI agent to automate the collection, analysis, and distribution of social media intelligence.

The Challenge Relying on manual checks across Facebook, Instagram, and Threads resulted in delayed reactions to trending topics and information overload. The team needed a way to filter out noise and receive only actionable, structured insights.

The Solution & Architecture I built a continuous, automated pipeline using n8n as the core orchestrator. The system operates 24/7 without human intervention:

Data Ingestion: Custom n8n nodes scrape target hashtags, keywords, and mentions from Facebook, Instagram, and Threads.

AI Processing: Raw data is passed to a Large Language Model (LLM). The AI filters irrelevant noise, analyzes sentiment, and summarizes long posts into concise bullet points.

Automation: n8n (Self-hosted)

AI: OpenAI API (GPT-4o) for NLP and summarization

Integrations: Telegram Bot API, WhatsApp Business API, Google Sheets API

Time Saved: Reclaimed 12+ hours of manual work per week for the marketing team.

Efficiency: 100% coverage of target keywords with zero missed mentions.

Strategic Impact: The structured Google Sheets archive enabled data-driven content planning and retrospective campaign analysis.