In traditional academic settings, students who miss live lectures often struggle to catch up due to a lack of structured resources and peer interaction. This project presents A-CLIP (Capture and Learning Intelligence Platform), a hybrid intelligent system designed to bridge this gap by transforming static video recordings into a comprehensive, interactive learning environment. Unlike standard video players, A-CLIP creates a \\\"study-like\\\" atmosphere where absent students can engage with material more deeply than in a physical classroom. The platform utilizes a microservices-inspired architecture, combining a Node. js orchestrator for real-time state management with a specialized Python service for high-performance AI tasks. For every uploaded lecture, the system automatically generates detailed, structured study notes using Llama 3. 2 and curates supplementary external resources from the web, ensuring students have access to a wealth of context beyond the video itself. To reinforce mastery, an AI-driven adaptive quiz engine generates assessments with difficulty tiers (Beginner and \), locking advanced modules until foundational concepts are understood. Furthermore, the platform simulates the social aspect of learning through a \\\"Study Room\\\", where students can watch Siddhant Thorve. 2026, ISSN (Online): 2348-4098 ISSN (Print): 2395-4752 International Journal of Science, Engineering and Technology synchronously, video chat via WebRTC, and collaborate on shared whiteboards. This holistic approach ensures that missing a lecture no longer results in a learning deficit, but rather offers an opportunity for personalized, resource-rich study. \
Thorve et al. (Thu,) studied this question.