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Enhancing Job Search Efficiency for High School Students: A Comprehensive Study of CareerCompass Utilizing AI and Mapping Technologies

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Author :  Jayden Szeto, Rodrigo Onate

Affiliation :  California State Polytechnic University

Country :  United States

Category :  Soft Computing

Volume, Issue, Month, Year :  Volume 14, Number 17, September, 2024

Abstract :


The problem addressed by CareerCompass is the inef iciency and stress of the job search process, particularly for high school students [1]. CareerCompass integrates advanced mapping technologies and artificial intelligence to create a visual, easy-to-interact-with platform that displays job opportunities on a map, making it easier to find jobs based on specific geographical preferences [2]. Key technologies include Google Maps for better geolocation, Selenium for web scraping, and OpenAI GPT for job assessment and personalized lesson generation [3]. An experiment testing the accuracy of the job assessment system showed a 80% accuracy rate, highlighting its reliability and areas for potential improvement. By providing a user-friendly solution to job searching, the app reduces the time and stress associated with traditional job searching, empowering high school students to make better career decisions and bridging the gap between their current skills and job market requirements. This approach not only streamlines the job search process but also supports users in achieving their career goals through personalized learning paths, making CareerCompass a transformative tool for younger job seekers.

Keyword :  CareerCompass, Job Search Ef iciency, AI-Powered Career Guidance, Geolocation Technology

Journal/ Proceedings Name :  14th International Conference on Computer Science and Information Technology (CCSIT 2024)

URL :  https://airccse.org/csit/V14N17.html

User Name : JaydenSzeto
Posted 28-10-2024 on 21:17:28 AEDT



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