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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
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Issue: March 2026
Volume 11 | Issue 3
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21470
Article Published : 8508
Total Authors : 22383
Total Reviewer : 805
Total Countries : 157
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| Paper Title: | Predicting Student`s Final Performance Using Artificial Neural Networks |
| Authors Name: | S.Sri Lakshmi Ramya , R.V.V. Manoj Vardhan , A.S.Sai Krishna , V.Ganesh Durgasai |
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| Author Reg. ID: |
IJRTI_189722
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| Published Paper Id: | IJRTI2404118 |
| Published In: | Volume 9 Issue 4, April-2024 |
| DOI: | |
| Abstract: | Educational guidance is a cornerstone of student success, yet traditional methods often struggle to deliver personalized recommendations tailored to individual needs. This paper proposes an innovative approach leveraging hybrid machine learning techniques to enhance academic guidance. By harnessing the power of artificial intelligence (AI) and machine learning (ML), our system aims to predict students' academic performance and provide tailored recommendations for educational pathways. Through comprehensive analysis of student data and rigorous algorithm selection, we demonstrate the efficacy of our approach in refining the guidance process. Our results highlight the potential of hybrid ML techniques to revolutionize academic guidance, empowering students to make informed decisions and achieve their educational goals effectively. |
| Keywords: | Artificial Intelligence, Machine Learning, Neural Networks, Student performance, Education, Predictive Modeling, Classification Algorithms, Supervised Learning, Data Visualization, Distance Learning, Adaboost Classifier |
| Cite Article: | "Predicting Student`s Final Performance Using Artificial Neural Networks", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.9, Issue 4, page no.856 - 863, April-2024, Available :http://www.ijrti.org/papers/IJRTI2404118.pdf |
| Downloads: | 000205246 |
| 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 |
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Published Paper ID: IJRTI2404118
Registration ID:189722
Published In: Volume 9 Issue 4, April-2024
DOI (Digital Object Identifier):
Page No: 856 - 863 Country: Vijayawada, Andhra Pradesh, India Research Area: Information Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2404118 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2404118 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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