Career Recommendation System

The Career Recommendation System is a proposed web-based application designed to help students identify suitable career paths based on their skills, educational qualifications, interests and experience. In today’s competitive job market, students often face difficulties in choosing the right career, understanding industry requirements, identifying skill gaps and preparing professional resumes. Traditional career guidance methods may not always provide personalized recommendations based on an individual’s profile and career goals. The proposed Career Recommendation System provides a centralized platform where users can create and manage their profiles, receive personalized career recommendations, analyze the skills required for specific careers and build professional resumes. The system also incorporates AI-based assistance to generate relevant career suggestions and internship or job recommendations, helping students explore opportunities that align with their qualifications and interests. Additionally, the resume builder enables users to create and preview resumes and download them in PDF format. The project aims to make career planning more accessible, personalized and efficient by combining profile management, career guidance, skill gap analysis and AI-assisted recommendations in a single platform. It provides a foundation for future enhancements such as real-time job portal integration, advanced machine learning-based recommendation algorithms, aptitude assessment, career trend analysis and personalized learning path suggestions.

Authors

Publication Details

Journal
Iconic Research and Engineering Journals
Published
2026-11-03
DOI
https://doi.org/10.64388/ire1724707
Primary Topic
Recommender Systems and Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Career Recommendation System

Dharmendra Roy, Neela Chandana, Marella Amulya, Mamidi Hema Hasini et al.
Iconic Research and Engineering Journals
Recommender Systems and Techniques
article

Career Recommendation System

Dharmendra Roy, Neela Chandana, Marella Amulya, Mamidi Hema Hasini, Pandari Pragnya Shri
article en

Abstract

The Career Recommendation System is a proposed web-based application designed to help students identify suitable career paths based on their skills, educational qualifications, interests and experience. In today’s competitive job market, students often face difficulties in choosing the right career, understanding industry requirements, identifying skill gaps and preparing professional resumes. Traditional career guidance methods may not always provide personalized recommendations based on an individual’s profile and career goals. The proposed Career Recommendation System provides a centralized platform where users can create and manage their profiles, receive personalized career recommendations, analyze the skills required for specific careers and build professional resumes. The system also incorporates AI-based assistance to generate relevant career suggestions and internship or job recommendations, helping students explore opportunities that align with their qualifications and interests. Additionally, the resume builder enables users to create and preview resumes and download them in PDF format. The project aims to make career planning more accessible, personalized and efficient by combining profile management, career guidance, skill gap analysis and AI-assisted recommendations in a single platform. It provides a foundation for future enhancements such as real-time job portal integration, advanced machine learning-based recommendation algorithms, aptitude assessment, career trend analysis and personalized learning path suggestions.

Iconic Research and Engineering JournalsVol. 10(5)
Openalex Percentile: Top 10%
Recommender Systems and Techniques
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Career Recommendation System — Dharmendra Roy, Neela Chandana, et al. · Iconic Research and Engineering Journals (2026) | TGRS Research Map | TGRS