UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 2 | February 2026

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Volume 13 Issue 2
February-2026
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR2602266


Registration ID:
575670

Page Number

c441-c449

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Title

Course Crafter: Recommendation System Using AI

Abstract

The rapid expansion of educational video content on platforms such as YouTube has significantly increased access to knowledge. However, the vast volume and inconsistent quality of content create major challenges in identifying structured, reliable, and goal-oriented learning resources. Existing recommendation systems primarily optimize for engagement metrics rather than pedagogical coherence or personalized learning objectives. This paper presents Course Crafter, an AI-driven personalized course generation and recommendation system that transforms unstructured video content into structured learning pathways. The system integrates the Google Gemini API for natural language understanding and automated content generation with the YouTube Data API v3 for intelligent educational video retrieval. Based on a user’s input topic, the platform automatically generates a hierarchical course outline, fetches high-quality instructional videos, produces concise AI-generated summaries, and creates formative assessment quizzes to reinforce learning outcomes. Additionally, the system incorporates persistent progress tracking, enabling learners to save their advancement and resume courses seamlessly. Experimental evaluation demonstrates efficient real-time performance with high topic-to-video relevance accuracy and positive user feedback. Course Crafter contributes to the advancement of AI-assisted education by demonstrating how generative language models and multimedia retrieval systems can be integrated to create scalable, adaptive, and self-paced digital learning environments.

Key Words

Intelligent recommendation systems, personalized learning, generative AI, educational video retrieval, adaptive learning pathways, AI in education

Cite This Article

"Course Crafter: Recommendation System Using AI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.13, Issue 2, page no.c441-c449, February-2026, Available :http://www.jetir.org/papers/JETIR2602266.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Course Crafter: Recommendation System Using AI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.13, Issue 2, page no. ppc441-c449, February-2026, Available at : http://www.jetir.org/papers/JETIR2602266.pdf

Publication Details

Published Paper ID: JETIR2602266
Registration ID: 575670
Published In: Volume 13 | Issue 2 | Year February-2026
DOI (Digital Object Identifier):
Page No: c441-c449
Country: Navi Mumbai, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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