Streamlining Recruitment with AI: Design and Implementation of a Web Based Smart Hiring System
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With the technological advancement, the traditional recruitment processes have become considerably dependable on manual labour and prone to bias, which is quite time consuming and challenging. Since the competition is getting tough with each passing day and the new talent is emerging, it is necessary to address such problems and find a solution that may automate such work with precision. The current study aimed to discuss HireForge: A Smart Hiring System that presents a web-based AI-assisted solution. This is specifically designed to aid and streamline the job-seeking and recruitment processes by smartly analysing the HireForge resumes and matching the candidate’s data according to the job openings and their requirements. Job seekers submit their professional information through a structured form, eliminating the requirement of file uploads. The system stores this information in the Firestore Database, and the AI logic then evaluates the job seeker’s information against the specific requirements of the job. This provides a clean and quick list of shortlisted resumes along with the details of score matching (0-100%) against the job specification. After the selection of accepted resumes, the candidate is evaluated by an AI-generated test according to the job role. It supports both the recruiters and the job seekers by providing in-depth details of skills, experiences, and role stability. This project also aimed to demonstrate the integration of AI with the web technologies. Moreover, the potential of smart systems was also highlighted to help and automate human resource (HR) processes as well as reduce recruitment biases.
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Copyright (c) 2025 Sohail Ahmed Shah Syed, Aqsa Owais, Syeda Rabiya Iftikhar, Areeba Jawaid, Dua Abid
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