Algorithms for Philomaths

Adaptive algorithms for optimal human learning

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Project Team

Marie Huynh
Developer
Nickolas Fotopoulos

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About

We've built a user-friendly app that makes human learning more efficient by embedding algorithms that reorganize the data you wish to consume based on constant self-assessment. It reduces the mental overhead of manually running them in your brain. We built the primary learning interface and a command-line data importer. With Firebase, we're well placed for real-time notifications of what other users are doing, gamification through achievements, and real-time monitoring of learning. From here, we plan to collect additional user performance metrics, enabling us to optimize learning algorithms further. The end goal is an AI that will adapt with the users and serve as an effective teacher.

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