- Event-Driven AI Pipeline: Monitors live Twitter streams via WebSockets and Kafka for real-time event detection.
Classifies interactions (mentions, hashtags, trending topics) using Graph Neural Networks (GNNs) and dispatches tasks to AI microservices.
- Behavior Control System: Utilizes Bayesian Networks to predict optimal engagement strategies based on historical data, ensuring natural interaction timing and diversity to avoid repetitive patterns.
- Multi-Stage Content Filtering Pipelines: Evaluates AI-generated tweets for compliance with ethical standards and brand tone.