Galactic Scholar: Adaptive Lore Navigator

Inspired by the intricate world-building of 'Nightfall' and the vastness of the Star Wars universe, Galactic Scholar aims to tackle the challenge of information overload in educational contexts. Much like an e-commerce scraper gathers product data, this project will scrape and index publicly available lore information (wikis, timelines, character profiles) from a chosen fictional universe, with Star Wars being the initial focus. The 'Nightfall' influence comes in the form of presenting information in a structured, yet emergent way, allowing users to delve deeper into specific topics. The 'Star Wars: Episode IV' inspiration lies in the clear narrative progression and the discovery of a larger, interconnected story. Galactic Scholar will act as an AI-powered tutor. Users can express their learning goals (e.g., 'understand the rise of the Empire,' 'learn about Jedi history'). The AI, using natural language processing and graph-based knowledge representation (derived from scraped data), will then generate a personalized learning path. This path will consist of curated articles, video links, and interactive quizzes. The 'adaptive' element means the AI will monitor user performance on quizzes and adjust the difficulty and content of subsequent learning modules. For example, if a user struggles with questions about the Clone Wars, the AI will provide more foundational information on that era before moving on. The platform will be low-cost to implement by individuals, utilizing open-source AI libraries and readily available web scraping tools. The niche is educational technology for fans of expansive fictional universes, a passionate and often overlooked demographic. High earning potential can be realized through premium subscription tiers offering advanced analytics on learning progress, access to deeper lore analysis, curated masterclasses by subject matter experts (fan theorists, authors), and potentially partnerships with fan conventions or educational institutions focusing on narrative analysis. The initial version could be a web application, with future expansion to mobile and VR for immersive learning experiences.