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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM43412

SkillTech: A Modern LMS for Personalized Learning and Career Growth

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM43412

Volume:

9 |

3 |

Mar 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM43412

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

SD

Shreyash Dubey

AM

Anamika Mishra

EM

Esha Mourya

PM

Pawan Mishra

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Abstract

The rapid evolution of digital learning platforms has revolutionized education making it more accessible and interactive. However, traditional Learning Management Systems (LMS) often lack seamless career integration and personalized guidance limiting their effectiveness. This paper presents SkillTech an innovative full-stack platform that integrates an LMS with a job portal and an AI-driven chatbot to enhance learning outcomes and career opportunities. SkillTech offers interactive course modules, skill-based job recommendations bridging the gap between education and employment. The chatbot provides intelligent assistance guiding users through course selections and career pathways. The platform leverages modern web technologies including MongoDB, Express.js, React, and Node.js ensuring scalability and efficiency. By combining education, career services and AI-driven mentorship in a single ecosystem. SkillTech aims to redefine online learning and job placement fostering a more comprehensive digital learning experience.

KEYWORDS

LMS Job Portal AI Chatbot Full-Stack Development Online Learning Career Integration

Cite This Article

Shreyash Dubey, Anamika Mishra, Esha Mourya, Pawan Mishra, "SkillTech: A Modern LMS for Personalized Learning and Career Growth," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 3, Mar 2025. https://doi.org/10.55041/IJSREM43412

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Publication Date

3/31/2025

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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