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Learn to build a vision-powered web application and leaderboard system inspired by the "Split the G" phenomenon through this 18-minute technical walkthrough. Discover how to develop a computer vision system that measures liquid levels in pint glasses and assigns scores based on fill levels relative to logos. Master the implementation of a full stack application that combines computer vision for precise measurements with complex logic pipelines, featuring automatic image capture using Inferencejs, model training for glass and logo detection, integration with Roboflow Workflows API for inference and active learning, and Supabase data storage for leaderboard functionality. Gain hands-on experience in creating an interactive platform where users can compete, share results, and participate in a community-driven scoring system that demonstrates practical applications of AI in everyday scenarios.
