AI-Powered Social Media Trend Analysis System with n8n

Developed an intelligent automation system (AI Social Trend Radar) using n8n and AI technologies to collect, analyze, and report on the latest technical trends from multiple sources.

Key Features:

- Automated data collection from GitHub, web sources, and social platforms (LinkedIn, X, Instagram, TikTok) via search APIs

- Deduplication and filtering of content based on recency and relevance

- AI-powered analysis using OpenCode and AI agents to extract key trends

- Structured Arabic analytical reports with professional formatting

- Automatic long-report segmentation for Telegram delivery limits

- Telegram Bot API integration for automated report delivery

- Robust error handling with automatic retry mechanisms

Technologies: n8n, OpenCode, AI Agents, Tavily API, GitHub API, Telegram Bot API, JavaScript, REST APIs

Results: Successfully tested end-to-end pipeline collecting, processing, analyzing, and delivering Arabic trend reports via Telegram in multiple messages.

This project demonstrates practical application of AI and automation for technical trend monitoring, reducing manual research effort.