Intelligence Catalog

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Intelligence Catalog is an educational tool designed to demonstrate the capabilities of on-device artificial intelligence on Apple platforms. Developed by Arifin Firdaus, it serves as an interactive playground where users can explore 36 distinct machine learning tasks directly on their iPhone, iPad, or Mac. The application includes 10 real Apple Core ML models covering image classification, object detection, semantic segmentation, depth estimation, and drawing classification. Additionally, it features 19 Vision-native tasks such as text recognition, face detection, and body/hand pose estimation, alongside Apple Intelligence’s on-device Foundation Models and Natural Language’s on-device NLP models.

The app provides a standardized workflow for every demo: Input, Run, Result, Confidence, Processing Time, and Explanation. This structure allows users to understand how each model reasons rather than just observing the output. Users can browse tasks by category, search for specific functions, and favorite demonstrations for future reference. A recent update introduces “Learn Reminders,” which sends daily notifications with quiz questions to help maintain a study streak, supported by customizable widgets.

Built primarily for iOS developers, ML engineers, students, and curious users, Intelligence Catalog emphasizes privacy by processing all data entirely on the device, ensuring nothing is sent to external servers. It is available for free on the Apple App Store.