Joblinker: Automated Recruitment Through Verified Intelligence

In the modern world, when it comes to the online recruitment ecosystem, there's a demand for accurate and authentic solutions. Keeping these points in mind, we have developed JobLinker, an AI-powered recruitment framework which is designed to automate candidate-job matching with minimal bias and human effort. The model consists of natural language processing, ML, and layered verification to extract, process, and compare both resume and job data. Recruiter and applicant profiles are encoded as weighted feature vectors, and a similarity based computation determines a fit score to suggest the most suitable pairings. A feedback-learning module simultaneously refines recommendation precision, while verification layers safeguard data integrity and reliability. Experimental evaluation demonstrates that JobLinker achieves 91.7% and 95.3% accuracy, reducing manual effort by up to 90%. These outcomes position JobLinker as a transparent, adaptive, and costefficient solution that reshapes digital hiring for employers and applicants alike.