Year: 2025
Type: article
Abstract: : Determining the ideal career path is a significant milestone in a student’s life. Unfortunately, students often face a lack of proper career counselling and awareness about options that align with their individual talents and preferences. This paper introduces a Smart Career Advisor built on machine learning principles to address these gaps. Leveraging models like Random Forest and XGBoost, the system analyses user-specific data such as academic records, interests, and skillsets to provide accurate, customized career suggestions for different education levels, including 10th, 12th, Diploma, Graduation, and Post-Graduation. The objective is to empower students with data-driven insights to make informed decisions about their careers.
Author: Mrs. D. Urlamma
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4409850616