Smart Video Feed and Stream Interact

In this day and age of digital learning, students commonly struggle with the ability to obtain instant engaged and providing them the answers to their questions with online video tutorials. This project offers a remedy as a web application “Smart Video Feed And Stream. Interactivity,” which seeks to overcome this. This integrates deep learning, ai bots, and natural language processing (NLP), the use PARSE — extracts meaningful keywords from uploaded videos, and lets users insert comments and answers to a database. The chatbot then gives instant answers to user queries during video playback. When the system can't find a related answer, it gives a contextual reply in order for a continuous learning path. Deep learning algorithms are in-built into the system for accurate keyword extraction while NLP techniques support effective matching queries and interaction in real-time. This is also a humanly way to improvise the learning experience because one can find instant answers to questions with the help of the solution. The findings validate the platform's value to provide real-time learning support. The current research adds to the emerging body of knowledge in online learning technologies, with a potential application across educational sectors and into the area of customer service and technical support.