Arrakis Archive: Personalized Learning Path Weaver

Inspired by the intricate political and ecological knowledge woven throughout Frank Herbert's 'Dune,' this project, 'Arrakis Archive,' aims to create an educational technology that mirrors the Fremen's deep understanding of their environment and the Bene Gesserit's mastery of observation and prediction. Much like how in 'The Matrix,' individuals are 'plugged in' to receive tailored information and training, Arrakis Archive will offer a similar personalized experience for learners. The core functionality will involve users inputting their current knowledge level and learning goals across various subjects. The system will then act as a 'script kiddy' – akin to Neo learning Kung Fu instantaneously – by scraping publicly available educational content (e.g., open courseware, Wikipedia articles, educational YouTube channels). This scraped data will be analyzed to identify key concepts, prerequisites, and learning sequences. Leveraging a simplified version of pricing scraper logic, the system will identify 'high-value' learning modules (i.e., foundational or highly relevant to the user's goal) and then dynamically weave them into a coherent, step-by-step learning path, presented as a visual 'mind map' or flowchart. Each node in the path will link to the curated open-source educational resource. This makes it niche by focusing on personalized pathways rather than delivering content directly, low-cost as it relies on scraping and open resources, and high-earning potential through premium features like AI-driven concept clarification, progress tracking, and integration with paid educational platforms where users can find advanced courses. Think of it as a 'DeLorean' for learning, custom-built for your journey.