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Knowledge Explorer is a domain-independent learning platform. The engine doesn't know anything about AI, PMP, or any other subject — all of that lives in a Knowledge Pack: a self-contained set of topics, relationships, summaries, and use cases that the engine renders as an explorable map.
The goal is to make dense technical subjects navigable at a glance — see how a field is structured, drill into any concept, and read a plain-language summary and real-world use case without leaving the map.
Adding a new subject should mean writing new data, not new code. Every sprint moves the project closer to that: this release polishes the experience on top of the original AI prototype; a later sprint separates the engine from the data entirely so new packs can be dropped in.
An operations and AI practitioner exploring applied AI, workflow automation, and enterprise-grade product design — built as an open-source portfolio piece and a genuine learning tool.
Knowledge Explorer moves in small, working sprints. Each one ships real software; nothing is “in progress” for long.
Cloud Computing · Python · Networking · DevOps · Data Science · Cyber Security · Enterprise Automation