JobNexus AI Powered Recruitment Solution
The jobNexus AI-Powered Recruitment Solution is a modern full-stack platform dedicated to drastically improving the hiring process. The all-inclusive solution uses contemporary technology components to streamline the hiring procedures for administrators, specialists, and seekers. Through its dynamic job board application the system enables HR managers to run easy job position advertisements. Companies need to show approved corporate paperwork for listing verification before they publish advertisement content. Through jobNexus users can find suitable job opportunities with direct application features. Job candidates can use the system that automatically processes resumes through its AI-powered Applicant Tracking System after they input their documents. Resumes of top candidates receive advanced scrutiny from ATS systems that visit through resumes to determine quality and relevancy levels for selective approval. A standout feature of jobNexus is its exclusive referral system, which leverages employee networks to enhance job opportunities. A recommendation system stands as jobNexus distinctive element because it enhances job opportunities through employee network relationships the recruitment process benefits from asking employees to assess potential candidates for recommendation purposes. The platform introduces a built-in communication system for both parties to use after approval to develop strong professional connections. Applications on the platform receive instant tracking insights that show job seekers where their applications stand. Through the hiring process candidates gain instant notifications about application progress and assessment activities along with company feedback to promote involvement during selection.
Authors
- Perumal Kumar (ORCID: https://orcid.org/0000-0002-1029-7501)
- K Gopal
- G. Sangeetha
- Vinod Kumar (ORCID: https://orcid.org/0000-0003-4992-7571)
Institutions
- Rajalakshmi Engineering College
Publication Details
- Published
- 2025-04-16
- DOI
- https://doi.org/10.1109/iccct63501.2025.11020054
- Citations
- 1
- Primary Topic
- IoT and Edge/Fog Computing
- Type
- article
- Field-Weighted Citation Impact
- 1.49