Ravi Tez, L. Atri Datta and Saroja Devi, Allada Lakshmi and Sai Sriya, Karri Alekhya and Swathi Durga, Polireddi and Phibe, Undrajavarapu and Yamini, Kondeti and Manaswi, Gollamandala. (2025) Career Connect: Skill Based Job Discovery. International Journal of Innovative Science and Research Technology, 10 (4): 25apr1983. pp. 3258-3262. ISSN 2456-2165
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Abstract
The hiring process for new employees is being transformed by artificial intelligence (AI), which makes it quicker, more accurate, and less expensive. AI helps HR teams and job searchers save time and effort by matching the best candidates with the right jobs by analysing vast volumes of data. Instead of wasting time on repetitive administrative tasks, this technology enables job searchers concentrate more on crucial responsibilities. The goal of this project is to develop a platform for AI-driven job recommendations that streamlines the job search. A resume parser is used to extract essential abilities from resumes that users upload. These abilities are matched with job advertisements published by human resources professionals from various places and companies. After that, it shows locations and pertinent job openings. The platform increases productivity by automating the job-matching process, making it easier for job seekers to locate jobs that fit their skills.
Item Type: | Article |
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Subjects: | T Technology > T Technology (General) |
Divisions: | Faculty of Engineering, Science and Mathematics > School of Engineering Sciences |
Depositing User: | Editor IJISRT Publication |
Date Deposited: | 14 May 2025 10:42 |
Last Modified: | 14 May 2025 10:42 |
URI: | https://eprint.ijisrt.org/id/eprint/851 |