This tutorial aims to create a real-time shopping assistant that can analyze live video streams and deliver actionable insights to the end user in real-time. It requires the integration of multiple technologies, including Daily for real-time video and audio capabilities, YOLOv8 for object detection, Turso for vector database search, Supabase for storing detected images and products, and Cerebrium as the underlying platform. The tutorial covers the setup of each component, including Daily, YOLOv8, Turso, and Supabase, and provides a step-by-step guide on how to integrate them into a single application. The final product is a real-time shopping assistant that can detect and search items with extremely low latencies, making it an affordable solution for e-commerce applications.