Paper Title
AI-powered semantic search and OCR-enabled e-learning platform
Article Identifiers
: Authors
Keywords
Optical character recognition (OCR) technology, adaptive learning algorithms
Abstract
The paper proposes an AI-powered semantic search and OCR-enabled e-learning platform that aims to improve knowledge acquisition and retention. The system uses natural language processing techniques to enhance search queries and provide relevant results based on the user's preferences and interests. Optical character recognition (OCR) technology is employed to extract text from images and make them searchable, enabling users to access and learn from visual content. The platform also incorporates adaptive learning algorithms that personalize the learning experience and facilitate long-term knowledge retention. The proposed system is expected to improve the quality of online education by providing an intuitive, interactive, and efficient learning environment that enhances the learning outcomes of students.
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How To Cite (APA)
Kedar Patil, Dipali Baviskar, Parth Gabhane , Tejas Naphade , & Anjali Garje (July-2023). AI-powered semantic search and OCR-enabled e-learning platform. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(7), b337-b345. https://ijnrd.org/papers/IJNRD2307134.pdf
Issue
Volume 8 Issue 7, July-2023
Pages : b337-b345
Other Publication Details
Paper Reg. ID: IJNRD_201318
Published Paper Id: IJNRD2307134
Downloads: 000122253
Research Area: Computer Science & TechnologyÂ
Author Type: Indian Author
Country: Pune, Maharashtra, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2307134.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2307134
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