Streamlining Recruitment with AI: Design and Implementation of a Web Based Smart Hiring System
DOI:
https://doi.org/10.32350.umt-air.52.04Keywords:
Artificial Intelligence, Smart Hiring system, Recruitment Automation, Applicant Tracking System, Resume Screening, AI Based Candidate EvaluationAbstract
As the technology progresses, the traditional recruitment processes have become heavily reliable on manual labour and prone to bias, time consuming, and challenging. Since the competition is getting high with each passing day and the new talent is emerging, it is necessary to address such problems and find a solution that can automate such work with precision. Our project HireForge: A Smart Hiring System presents a web based AI assisted solution that is designed to aid and streamline the job-seeking and recruitment process 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 and evaluated test according to the job role. It supports both recruiters and Job Seekers by providing indepth details to skills, experience and role stability. Our project also aims to demonstrate the integration of AI with web technologies and emphasizes the potential of smart systems to help and automate human resource processes and reduce recruitment biases.
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References
[1] C. Rigotti and E. Fosch-Villaronga,
“Fairness, AI & recruitment,”
Comput. Law Secur. Rev., vol. 53,
Art. no. 105966, July 2024, doi:
https://doi.org/10.1016/j.clsr.2024.105
966.
[2] I. Tepsic, “Artificial intelligence in
hiring process,” 2020. [Online].
Available:
https://urn.nsk.hr/urn:nbn:hr:229:7857
80.
[3] V. Dishankan and A. R. F. Shafana,
“AI-driven candidate profiling: A
comprehensive review of
methodologies, technologies, and
future directions,” Issues, vol. 1, no.
2, 2024. [Online]. Available:
[4] W. A. Albassam, “The power of
artificial intelligence in recruitment:
An analytical review of current AI-
based recruitment strategies,” Int. J.
Prof. Bus. Rev., vol. 8, no. 6, Art. no.
e02089, June 2023, doi:
https://doi.org/10.26668/businessrevie
w/2023.v8i6.2089.
[5] Z. Chen, “Collaboration among
recruiters and artificial intelligence:
Removing human prejudices in
employment,” Cogn. Technol. Work,
vol. 25, no. 1, pp. 135–149, Feb.
2023, doi:
Streamlining Recruitment with AI…
12 UMT Artificial Intelligence Review
Volume 5 Issue 2, Fall 2025
https://doi.org/10.1007/s10111-022-
00716-0.
[6] Parveen et al., “The role of artificial
intelligence in modern recruitment
and selection process,” [Online].
Available:
https://cuestionesdefisioterapia.com/in
dex.php/es/article/download/779/622/
1517.
[7] S. P. Singh, A. Srivastava, S.
Dwivedi, and A. K. Pandey, “AI
based recruitment tool,” Int. J. Res.
Appl. Sci. Eng. Technol., vol. 11, no.
5, pp. 2815–2819, May 2023, doi:
https://doi.org/10.22214/ijraset.2023.5
2193.
[8] S. M. Rahman, M. A. Hossain, M. S.
Miah, M. M. Alom, and M. Islam,
“Artificial intelligence (AI) in
revolutionizing sustainable
recruitment: A framework for
inclusivity and efficiency,” Int. Res. J.
Multidiscip. Scope, vol. 6, no. 1, pp.
1128–1141, 2025, doi:
https://doi.org/10.47857/irjms.2025.v
06i01.02698.
[9] P. Horodyski, “Applicants’ perception
of artificial intelligence in the
recruitment process,” Comput. Hum.
Behav. Rep., vol. 11, Art. no. 100303,
Aug. 2023, doi:
https://doi.org/10.1016/j.chbr.2023.10
0303.
[10] B. S. R. D. Geetha, “Recruitment
through artificial intelligence: A
conceptual study,” Int. J. Mech. Eng.
Technol., vol. 9, no. 7, pp. 63–70, July
2018.
[11] R. Meshram, “The role of artificial
intelligence (AI) in recruitment and
selection of employees in the
organisation,” Russ. Law J., vol. 11,
no. 9, pp. 322–333, Apr. 2023, doi:
https://doi.org/10.52783/rlj.v11i9s.16
24.
[12] U. Karaboga and P. Vardarlier,
“Examining the use of artificial
intelligence in recruitment processes,”
Bussecon Rev. Soc. Sci., vol. 2, no. 4,
pp. 1–17, Dec. 2020, doi:
https://doi.org/10.36096/brss.v2i4.234
.
[13] A. Gupta and M. Mishra, “Ethical
concerns while using artificial
intelligence in recruitment of
employees,” Bus. Ethics Leadersh.,
vol. 6, no. 2, pp. 6–11, 2022, doi:
https://doi.org/10.21272/bel.6(2).6-
11.2022.
[14] P. Horodyski, “Recruiter’s perception
of artificial intelligence (AI)-based
tools in recruitment,” Comput. Hum.
Behav. Rep., vol. 10, Art. no. 100298,
May 2023, doi:
https://doi.org/10.1016/j.chbr.2023.10
0298.
[15] H. K. da Conceição Santos Silva,
“Artificial intelligence in the hiring
process: Uses and consequences,”
PhD dissertation, Univ. São Paulo,
São Paulo, Brazil, 2025.
[16] F. P. W. Lo, et al., “AI hiring with
LLMs: A context-aware and
explainable multi-agent framework
for resume screening,” arXiv, May
2025, doi:
https://doi.org/10.48550/arXiv.2504.0
2870.
[17] C. Alex, “ServiceNow virtual agent
for recruitment: Automating candidate
queries,” Preprints, May 2025, doi:
https://doi.org/10.22541/au.17461170
4.40892647/v1.
[18] P. Kothari, P. Mehta, S. Patil, and V.
Hole, “InterviewEase: AI-powered
Owais et al.
13
Department of Information System
Volume 5 Issue 2, Fall 2025
interview assistance,” Research
Square, Feb. 2024, doi:
https://doi.org/10.21203/rs.3.rs-
3964944/v1.
[19] S. M. U. Dadaboyev, J. Abdullayeva,
N. Abbosova, A. Suleymenova, and
K. Mamadjanova, “Role of artificial
intelligence in employee recruitment:
Systematic review and future research
directions,” Discov. Glob. Soc., vol. 3,
no. 1, Art. no. 99, Sep. 2025, doi:
https://doi.org/10.1007/s44282-025-
00246-w.
[20] A. Nechytailo, “Using AI-powered
tools for improving talent acquisition
processes,” 2023. [Online]. Available:
https://urn.fi/URN:NBN:fi:amk-
2023120835338.
[21] A. Hewage, “Exploring the
applicability of artificial intelligence
in recruitment and selection
processes: A focus on the recruitment
phase,” J. Hum. Resour. Sustain.
Stud., vol. 11, no. 3, pp. 603–634,
Sep. 2023, doi:
https://doi.org/10.4236/jhrss.2023.113
034.
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Copyright (c) 2026 Aqsa Owais, Sohail Ahmed Shah Syed, Syeda Rabiya Iftikhar, Areeba Jawaid, Dua Abid
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