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Splitting the G is a computer vision app that allows players to sip a pint of Guinness and achieve a perfect 'split G' by leaving the beer level at the Guinness logo. The application captures images of the glass, automates scoring based on fill levels, and utilizes Inference JS for real-time model deployment. Scoring considers the distance of beer levels to the G logo, with scores ranging from 0 to 5. The app also features a leaderboard powered by Superbase, allowing users to share and view scores. Future enhancements are also discussed.
Utilizing Inference JS for deploying machine learning models enhances user experience.
Scoring methodology relies on beer fill levels relative to the G logo.
The app demonstrates an innovative intersection of AI and social activities, enhancing user engagement by combining gaming with drinking culture. The use of computer vision allows for a fun element while providing meaningful interactions among users. This application of AI could enhance similar social gamification efforts in other markets.
The development of an app like 'Splitting the G' raises questions about responsible AI use in recreation. Ethical considerations regarding user data privacy, especially in image capture and sharing, must be ensured. Balancing innovation with ethical practices remains essential in the deployment of such technologies in social settings.
It captures images for scoring without user intervention.
It provides database solutions and storage for user-generated content in the app.
This concept is central to assessing the filled pint against the 'G' logo.
A company focused on creating digital solutions for construction and engineering industries, utilizing AI in their applications.
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Astro K Joseph 10month
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