Research & Publications
Featured Scholarly Publication in International Science Journals
AI-Powered Smart Recruitment System for Intelligent Candidate Evaluation and Hiring Optimization
Abstract
This research paper explores the design, technical integration, and development of an AI-powered Smart Recruitment Platform. The system utilizes Advanced Natural Language Processing (NLP) models, structured JSON prompting layers, and automated parsing pipelines to scan, rank, and match developer profile data to candidate specifications. It aims to reduce administrative hiring bottlenecks, increase matchmaking precision, and establish a secure, performant database tracking pipeline.
Research Keywords
Published Date: May 2026
Peer Review: JAAFR Editorial Board Approved
Methodology: Headless API analysis, NLP ranking arrays, and database locking operations.