Adaptive Learning Path Generator with Skill Gap Analysis

Design a Python-based adaptive learning recommendation system that uses machine learning algorithms to dynamically assess a learner's current skills and knowledge gaps. Implement a comprehensive scoring mechanism using pandas for data processing that can map individual learning trajectories across multiple domains. The system should generate personalized learning paths, recommend specific resources, and provide predictive analytics on potential skill development timelines. Include error handling for diverse input scenarios and create a modular architecture that can be easily integrated with existing learning management systems.