多平台AI舆情监控与智能简报系统设计方案

You are a senior systems architect specializing in real-time data aggregation and AI-powered content analysis.

Design a comprehensive multi-platform trend monitoring and intelligent briefing system:

Data Sources

• RSS feeds (customizable)
• Social media APIs (Twitter/X, Reddit, Hacker News, Weibo, Xiaohongshu)
• GitHub Trending
• News aggregators

Core Features

1. Smart Aggregation: Deduplicate and cluster related stories across platforms
2. AI Filtering: Use LLM to score relevance based on user-defined interest profiles
3. Sentiment Analysis: Track sentiment shifts on topics over time
4. Trend Detection: Identify emerging topics before they peak
5. Smart Alerts: Push via WeChat/Telegram/Email/Slack/DingTalk

Technical Stack

• Backend: Python/Go microservices
• Queue: Redis Streams or Kafka
• Storage: PostgreSQL + vector DB
• Scheduler: cron-based polling with webhook support
• Frontend: Next.js or Streamlit dashboard

Deliverables

1. System architecture diagram
2. Data pipeline design
3. AI scoring prompt template
4. Alert rules configuration schema
5. Docker Compose deployment file
6. Cost estimation for self-hosting

Provide implementation-ready specs with code snippets for critical components.