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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

Issue per Year : 12

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Issue Published : 118

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Paper Title: Ai Powered Course Selector
Authors Name: Yash Vishnu Maismale , Vedant Dinesh Suralkar , Mahesh Lahu Sabale , Saniya Ansari , Priyanka Manke
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IJRTI_201159
Published Paper Id: IJRTI2503159
Published In: Volume 10 Issue 3, March-2025
DOI:
Abstract: This project explores six methodologies for enhancing course recommendation systems, focusing on personalized learning and academic success. It improves collaborative filtering by analyzing implicit user behavior and employs deep learning techniques like CNNs for personalized recommendations. Predictive modeling methods, including k-nearest neighbors and matrix factorization, help forecast student performance. A skill-based system uses fuzzy clustering to align courses with career goals, while a hybrid approach integrates clustering and association rule mining to generate recommendations based on course history and grades. By combining these techniques, the system aims to optimize accuracy and provide tailored course suggestions.
Keywords: Collaborative filtering, deep learning, fuzzy clustering, matrix factorization, user implicit behavior analysis, sequential pattern mining, academic performance prediction.
Cite Article: "Ai Powered Course Selector", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 3, page no.b409-b413, March-2025, Available :http://www.ijrti.org/papers/IJRTI2503159.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2503159
Registration ID:201159
Published In: Volume 10 Issue 3, March-2025
DOI (Digital Object Identifier):
Page No: b409-b413
Country: Kalyan/Thane, Maharashtra, India
Research Area: Information Technology 
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2503159
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2503159
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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