LEARNIFY: An NLP-Driven Video Synthesizer for Interactive Learning Using Web Scraping

The swift escalation in the number of digital learning videos has introduced difficulties such as excessive amounts of information, duplicated material, and learning paths that are not well- structured. Typical tools for creating summaries frequently shrink down individual videos or create quizzes that do not change, but they are not versatile and do not use different sources. To solve this issue, LEARNIFY presents a cutting-edge strategy that blends pertinent information from numerous online videos into a single, brief, and interactive educational experience. Its main strength is a flexible feedback system that measures how well students are learning through quizzes, pinpoints areas where they need more understanding, and remakes content that is easier to understand and customized, either as written material or as newly created videos. By bringing together web data extraction, Natural Language Processing (NLP), and video creation using artificial intelligence, LEARNIFY fosters learning that is tailored, flexible, and productive, all while reducing mental strain and turning simply watching videos into a stimulating journey of self-directed learning.