ISSN2456-3315
Impact Factor10.57
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Paper Title
Personalized AI-Driven Roadmap Generation
Authors
SMIRNA MARTIN , Dr.A.SUMITHRA
Keywords
Artificial Intelligence, Personized RoadMap, Placement Preparation
Abstract
The Roadmap Generation Project is an innovative platform that leverages generative AI and ultramodern web technologies to produce individualized study and medication paths acclimatized to individual literacy pretensions. Designed to address the challenges of tone- directed literacy and career medication, the platform provides a dynamic and comprehensive ecosystem for scholars, professionals, and lifelong learners. By analyzing stoner inputs similar as learning objects, skill situations, and career bourns, the platform generates step- by- step roadmaps incorporating generalities, practice exercises, and interview medication guidance.
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IJRTI — journal style
"Personalized AI-Driven Roadmap Generation", IJRTI - International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.10, Issue 1, page no.a880-a883, January-2025, Available :https://ijrti.org/papers/IJRTI2501105.pdf
APA — 7th edition
MARTIN, S., & Dr.A.SUMITHRA. (2025). Personalized AI-Driven Roadmap Generation. International Journal for Research Trends and Innovation, 10(1), a880-a883. https://ijrti.org/viewpaperforall.php?paper=IJRTI2501105
MLA — 9th edition
MARTIN, SMIRNA, and Dr.A.SUMITHRA. "Personalized AI-Driven Roadmap Generation." International Journal for Research Trends and Innovation, vol. 10, no. 1, 2025, pp. a880-a883, https://ijrti.org/viewpaperforall.php?paper=IJRTI2501105.
Chicago — 17th, bibliography
MARTIN, SMIRNA, and Dr.A.SUMITHRA. "Personalized AI-Driven Roadmap Generation." International Journal for Research Trends and Innovation 10, no. 1 (2025): a880-a883. https://ijrti.org/viewpaperforall.php?paper=IJRTI2501105.
Harvard — author–date
MARTIN, S. and Dr.A.SUMITHRA (2025) 'Personalized AI-Driven Roadmap Generation', International Journal for Research Trends and Innovation, 10(1), pp. a880-a883. Available at: https://ijrti.org/viewpaperforall.php?paper=IJRTI2501105
IEEE — numbered reference
S. MARTIN and Dr.A.SUMITHRA, "Personalized AI-Driven Roadmap Generation," IJRTI, vol. 10, no. 1, pp. a880-a883, Jan. 2025.
Vancouver — biomedical
MARTIN S, Dr.A.SUMITHRA. Personalized AI-Driven Roadmap Generation. IJRTI. 2025 Jan;10(1):a880-a883.
AMA — 11th edition
MARTIN S, Dr.A.SUMITHRA. Personalized AI-Driven Roadmap Generation. IJRTI. 2025;10(1):a880-a883. Accessed at https://ijrti.org/viewpaperforall.php?paper=IJRTI2501105
BibTeX — Zotero, Mendeley, LaTeX
@article{IJRTI2501105,
author = {SMIRNA MARTIN and Dr.A.SUMITHRA},
title = {Personalized AI-Driven Roadmap Generation},
journal = {International Journal for Research Trends and Innovation},
volume = {10},
number = {1},
pages = {a880-a883},
year = {2025},
month = {January},
issn = {2456-3315},
url = {https://ijrti.org/viewpaperforall.php?paper=IJRTI2501105}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - MARTIN, SMIRNA
AU - Dr.A.SUMITHRA
TI - Personalized AI-Driven Roadmap Generation
T2 - International Journal for Research Trends and Innovation
JA - IJRTI
VL - 10
IS - 1
PY - 2025
SN - 2456-3315
UR - https://ijrti.org/viewpaperforall.php?paper=IJRTI2501105
SP - a880-a883
ER -
Issue
Volume 10 Issue 1,
January-2025
Pages : a880-a883
Other Publication Details
Paper Reg. ID
IJRTI_200440
Published Paper ID
IJRTI2501105
Downloads
205,633
Research Area
Science & Technology
Country
Coimbatore, Tamilnadu, India
Published
January 2025
Published Paper PDF
https://ijrti.org/papers/IJRTI2501105.pdf
Published Paper URL
https://ijrti.org/viewpaperforall.php?paper=IJRTI2501105
About Publisher
International Journal for Research Trends and Innovation
Published by IJRTI (JW Publication)
2456-3315
ISSN
10.57
Impact Factor
2016
ESTD Year
Open
Access
Impact Factor 10.57 calculated by Google Scholar and Semantic Scholar.
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Declarations
Funding
No external funding was received for this study.
Conflict of Interest
The authors declare that they have no conflict of interest.
Acknowledgements
The authors would like to thank the reviewers and the editorial board of International Journal for Research Trends and Innovation for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.
