Adaptive Learning Paths Navigator

Drawing inspiration from the dynamic and personalized realities depicted in 'The Matrix' and the concept of evolving narratives like 'Nightfall,' this project aims to create an 'E-Learning Pricing' scraper with a twist. Instead of scraping prices, it will scrape publicly available syllabi, course outlines, and module descriptions from various e-learning platforms. This scraped data will then be analyzed by a simple AI model to identify common learning objectives, prerequisite knowledge, and skill progression within a given subject area. The core of the project is a user-facing application that allows individuals to input their current knowledge level (self-assessed or through a quick diagnostic quiz) and their desired learning outcomes. The AI then acts as a 'Navigator,' similar to how Neo navigated the Matrix, by recommending a highly optimized, step-by-step learning path through existing free and paid e-learning resources. This path will prioritize content based on identified gaps in the user's knowledge and their stated goals, suggesting a sequence of courses or modules from different platforms. The 'low-cost' aspect comes from leveraging existing free e-learning content and a simplified scraping/analysis process. The 'niche' aspect is the focus on personalized, cross-platform learning path curation, which is often missing in fragmented e-learning ecosystems. 'High earning potential' can be achieved through several avenues: offering premium subscription tiers for advanced analytics, personalized coaching add-ons, or partnerships with e-learning providers for affiliate marketing of their courses. The 'easy to implement' aspect lies in starting with a limited scope of subject areas and a basic NLP model for analysis, gradually expanding functionality.