Labrynth is a hands-on project that I've been developing at Bay Area hackathons and in my free time. It serves both as a platform for sharpening my technical skills and as a testbed for experimenting with emerging AI engineering technologies.
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A streamlined, personalized learning experience designed to drive effective skill acquisition through the exploration of real-world case studies and projects.
Link to this page: bit.ly/labrynth-app
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This app, tentatively named "Labrynth" is designed to:
The goal is to compress months of learning into a matter of hours or weeks, spread over focused study sessions.
A learning platform that enables deep learners to optimize their learning journey when trying to master new fields of knowledge and new domains.
Lesson plans are based on case studies and specific projects the learner tries to accomplish. It leads the learner in deep - to all of the skills they might require to learn to do something fairly complex.
Some examples are:
I’ve had the unique opportunity to observe some extremely high performing learners, and I’m basing the platform off of some of the observations I’ve made on their process and what appears to support their learning.