Rasika R. Chavan, Sujal Chaudhari, Ishwari Saljoshi, Prof. Amarnath Chadchankar
Abstract
“CareerIQ” AI Powered Career Intelligence and Resume Analyzer is a dual user platform which is specially designed for candidates or recent graduates applying for tech related jobs and secondly, for the recruiters offering the jobs. The system’s candidate part focuses on providing services like Uploading and Analysing the Resumes, Job Recommendations, Skill enhancement suggestions using AI, ATS score matching and Career Insights with Skill Gap Analysis. It uses Artificial Intelligence (AI), Natural Language Processing (NLP), Applicant Tracking System (ATS) helps system analyse candidate data making it more organized. On the other side the recruiter part focuses on services like Posting Jobs, Candidate Filtering by comparison on basis of experience, education, projects, technical and soft skills along with AI suggesting the right candidate for the role display the strengths and weakness of the applicant. The main purpose of the app is to overcome the issue of difficulty in manual screening, biased and unfair methods of hiring and improve transparency giving a fair chance to the capable candidate. It is the fastest and smartest medium of recruitment in today’s digital world.
Keywords
Artificial Intelligence, Natural Language Processing (NLP), Applicant Tracking System (ATS), Skill Gap Analysis
Conclusion
Unlike traditional method of recruitment “CareerIQ” is a digital platform used for hiring process to bridge the gap between academic learning and industry requirements related career insights recommended by AI by prioritizing skills over anything. This is a smart system that offers personalization, data driven suggestions and real time industry alignment. The system uses comparative study methods in various aspects for both users making it more effective and good at decision making. Overall, it’s speed, scalability, user-friendly UI and organized data makes it as smartest solution for AI-Powered Career Intelligence enhancing opportunities and platform’s relevance.
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How to Cite This Paper
Rasika R. Chavan, Sujal Chaudhari, Ishwari Saljoshi, Prof. Amarnath Chadchankar (2026). “CareerIQ”-AI Powered Career Intelligence and Resume Analyzer. International Journal of Computer Techniques, 13(2). ISSN: 2394-2231.
