AI Powered Job Search Platform: Skill-Based Job Matching & Generative-AI Driven Resume Tailoring

Main Article Content

Shraddha Sharma
Rahul Pannalal Shah
Roshan Ramkumar Sharma
Mufaddal Mukaram Salik
Asad Abdul Gafoor Siddiqui

Abstract

Finding a job today is a huge challenge because there is not one central place to manage everything, which forces candidates to jump between different sites while sending out the same generic resume for every role. Research shows that job seekers are spending over 10 hours every week just on these manual tasks, often without getting much real guidance. Moreover, a preliminary survey conducted as part of this study show 61% of candidates fail to customize their resume and submit generic resumes for each job role and don’t have enough preparation for interview rounds. These practices often result in tedious and repetitive work, missed opportunities and low acceptance rates. This paper introduces a centralized job seeking solution utilizing Artificial Intelligence (AI) to address these challenges such as job alerts and matching, AI-driven resume tailoring and AI-powered mock interviews. The proposed system aims to have a unified environment leveraging the efficient use of AI, such as Generative AI, to simplify job search process. The system integrates the core functionalities: 1) Smart Job Matching, finds most relevant job using vector embeddings and cosine similarity. 2) GenAI-driven resume tailoring generates resume drafts aligning to specific job description and optimized for ATS compatibility. 3) AI-powered mock interview simulates an interview scenario for a candidate to prepare for a role-based interview to enhance candidate performance and readiness by providing real-time feedback. The existing systems offer only one aspect of job search process whereas the proposed system delivers an integrated, intelligent and user-focused workflow starting from job discovery and profile-based matching to personalized resume customization and mock interviews, all these functions are consolidated into a single unit easing manual tasks and improve career outcomes.

Article Details

How to Cite
Sharma, S., Shah , R. P., Sharma , R. R., Salik , M. M., & Siddiqui , A. A. G. (2026). AI Powered Job Search Platform: Skill-Based Job Matching & Generative-AI Driven Resume Tailoring. International Journal on Advanced Computer Theory and Engineering, 15(1), 66–73. Retrieved from https://journals.mriindia.com/index.php/ijacte/article/view/2603
Section
Articles

Most read articles by the same author(s)

Similar Articles

<< < 3 4 5 6 7 8 9 10 11 12 > >> 

You may also start an advanced similarity search for this article.