Automated Video Validation System

Built an automated system to identify broken or blocked YouTube videos within a large educational content repository. The system scanned submitted links and flagged unavailable content, enabling replacement workflows. This was developed without prior coding experience, relying on self-learning and problem-solving under real constraints.