Adaptive Learning Path Recommendation Engine

Create a Python-powered recommendation system that analyzes student performance spreadsheets to generate personalized learning paths. Implement collaborative filtering and machine learning algorithms to suggest targeted learning resources, predict skill gaps, and dynamically adjust curriculum recommendations. Develop an Excel-based dashboard that visualizes individual student learning trajectories and provides actionable insights for educators.