cFoodo

Feature

1. 1.Developed an AI-driven restaurant discovery platform that automatically extracts and analyzes Instagram food posts, providing users with real-time, location-based recommendations integrated with seamless map and list views.
2. 2.Architected a highly concurrent batch processing pipeline using a Go worker pool to process batches of ~100 posts and comments simultaneously. Strategically chunked large requests to prevent LLM token overflow while stabilizing system resource utilization and minimizing latency.
3. 3.Automated operational workflows by integrating Database Webhooks with a Discord Bot, transforming the manual "add restaurant" procedure into a structured data pipeline. This reduced maintenance costs and backend complexity, requiring only basic field validation to process data.
4. 4.Implemented spatial indexing for location-based queries to eliminate full table scans. This drastically reduced query latency and ensured a smooth, responsive user experience on map and list interfaces during real-time user location updates.