Hrtechnest
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Éditeur
St. Francis Institute of Technology (SFIT)
DOI
Résumé
This project develops an automated recruitment module within a Human Resource Management System (HRMS) tailored to meet the recruitment needs of tech startups. By automating key stages such as candidate shortlisting and interview scheduling, the module significantly enhances hiring efficiency, minimizing manual effort and time. It addresses challenges like high turnover and specialized talent needs by providing a centralized platform where applicants can submit resumes which can be made on our system using resume template, which are then analyzed by intelligent algorithms based on predefined criteria to ensure that only the most suitable candidates advance. The system integrates with Calendar APIs to streamline interview scheduling, reducing coordination delays and ensuring that both candidates and HR teams are consistently informed. With real-time tracking, HR teams gain full visibility into each candidate�s progress, and automated notifications help keep candidates engaged. This comprehensive, technology-driven approach speeds up recruitment, improves candidate selection accuracy, and adapts to the growth and unique needs of startups. The report outlines the module�s design and implementation, covering resume processing, shortlisting, interview scheduling, and candidate tracking, and provides valuable insights into the system�s architecture and technologies used.
Description
Project Report submitted to St. Francis Institute of Technology (SFIT).
Citation
Human Resource Management System (HRMS)
Automated Recruitment
Resume Processing
Candidate Shortlisting
Interview Scheduling
Calendar API
Candidate Tracking
Recruitment Automation
Automated Recruitment
Resume Processing
Candidate Shortlisting
Interview Scheduling
Calendar API
Candidate Tracking
Recruitment Automation