Year: 2025
Type: article
Abstract: The job market is highly competitive, making it challenging for job seekers, including students, fresh graduates, and professionals, to secure employment. Traditional job search methods lack efficiency, personalization, and real-time feedback, often leaving candidates unprepared for Applicant Tracking Systems (ATS) and interviews. To address these challenges, we propose an AI-Powered Opportunity Crafter, an intelligent job assistant that leverages Artificial Intelligence (AI), Natural Language Processing (NLP), and Machine Learning (ML) to enhance job seekers' success rates., The system consists of three core modules: ATS Evaluation, Interview Preparation, and Mock Interviews. The ATS Evaluation module analyzes resumes for formatting, keyword relevance, and structure, providing an ATS score to improve application effectiveness. The Interview Preparation module generates AI-driven, job-specific questions to help candidates practice effectively. The Mock Interview module simulates real interviews using speech-to-text processing and sentiment analysis, offering feedback on clarity, tone, and confidence. By integrating AI-driven resume optimization, personalized interview coaching, and real-time simulations, this system enhances employability, increases confidence, and improves interview performance, making career opportunities more accessible and effective for job seekers.
Author: Sasikumar N
Language: English
Topic: AI and HR Technologies
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4409837078