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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM60507

CareerPath AI: Your Intelligent Guide to Tech Career Success

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM60507

Volume:

10 |

4 |

April 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM60507

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

KKV

Krishnendu K V

SKS

Sanjay Karun S

SS

Sayooj S

SK

Surya K

PP

Pradheeba P

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Abstract

Career selection is a very crucial process for students and early-career professionals because choosing the right career path directly influences their future growth and success. However, traditional career guidance methods have several drawbacks, including lack of personalization, being time-consuming, limited accessibility, and absence of data-driven decision-making. With the rapid evolution of the technology industry, students often struggle to identify suitable career paths and required skill sets. Existing online platforms provide general recommendations, but they fail to offer real-time personalized guidance and comprehensive skill analysis. Recent advancements in Artificial Intelligence have enabled the development of intelligent systems capable of analyzing user data and providing meaningful recommendations. AI-driven career guidance systems focus on understanding user profiles, interests, and competencies to generate accurate career insights. Drawing inspiration from intelligent recommendation systems and data analytics, this project introduces CareerPath AI an AI-powered career guidance platform that analyzes user skills, interests, and educational background to recommend suitable technology career paths. The system also identifies skill gaps, suggests relevant learning resources, and provides continuous support through an integrated chatbot. It aims to minimize confusion in career decision-making while offering a personalized, adaptive, and user-friendly guidance experience.

KEYWORDS

AI-based Career Guidance Career Recommendation System Skill Gap Analysis Personalized Learning Chatbot Assistance Data-Driven Decision Making Intelligent Systems.

Cite This Article

Krishnendu K V, Sanjay Karun S, Sayooj S, Surya K, Pradheeba P, "CareerPath AI: Your Intelligent Guide to Tech Career Success," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 4, April 2026. https://doi.org/10.55041/IJSREM60507

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Publication Date

4/18/2026

Peer Review Type

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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No funding information available for this research.

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