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@article{186557,
        author = {Thaneshwar B and Sudharshan B and Yogeshwaran S and Leo Bright Tennisson N},
        title = {Learnz : AI-Powered Course Builder with Auto Quiz Generator},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {1543-1551},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=186557},
        abstract = {The development of artificial intelligence (AI) and large language models (LLMS) has provided fresh and new innovative ways to generate educational material and to deliver it to the students’ needs. The current paper presents an AI powered intelligence course generation system capable of transforming a common topic into learning courses with different modules. Google’s Gemini API generates dynamic content, FFmpeg handles the automated video processing, and a vector database (qdrant / weiver) allows for the semantic video search and the recommendations. For structured data storage, MongoDB is used as the main database is responsible for embedding that permit effective similarity searches. The proposed structure supports text to video, has interactive learning, automated quiz creation and personalized navigation at the module level. The trial results indicate that the system can produce vast amounts of educational material, autonomously produce comprehensive educational materials and adaptive quizzes, hence positioning it as a scalable and intelligent e- learning platform.},
        keywords = {Artificial Intelligence, Course Generation, Video Synthesis, Vector Database, Semantic Search, Gemini API, MongoDB, FFmpeg, Educational Technology.},
        month = {November},
        }