Authors :
Anoop N G; Preethi K P
Volume/Issue :
Volume 10 - 2025, Issue 9 - September
Google Scholar :
https://tinyurl.com/4wv7dmkx
Scribd :
https://tinyurl.com/bdf2s42u
DOI :
https://doi.org/10.38124/ijisrt/25sep039
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Note : Google Scholar may take 30 to 40 days to display the article.
Abstract :
An AI-powered platform called FreelanceNest is revolutionizing freelance recruiting by emphasizing openness
and skill-based assessments. The platform guarantees fair and objective evaluations based on real-world problem-solving,
as opposed to subjective assessments or resumes. The AI creates three customized problem statements depending on the
necessary skills when project managers enter project specifics. In order to ensure openness and industry-standard coding
techniques, freelancers choose a problem, fix it, and then submit their answer via GitHub. The AI backend assigns a score
and provides thorough comments after assessing contributions according to criteria including requirements alignment,
problem-solving methodology, and code quality. By automating the screening process, this method saves project managers
time while providing independent contractors with an equitable opportunity to demonstrate their abilities. FreelanceNest
expedites employment by emphasizing speed and merit, guaranteeing top-notch matching. By automating the screening
process, this method saves project managers time while providing independent contractors with an equitable opportunity
to demonstrate their abilities. FreelanceNest expedites the recruiting process by emphasizing efficiency and merit,
guaranteeing top-notch matches between independent contractors and projects, which eventually improves results for
both sides.
Keywords :
Freelancing Platform, Admin Dashboard, user Authentication, Project Management System, Role-Based Access Control.
References :
- Jaser, Z., Petrakaki, D., Starr, R., Oyarbide, E., Newton, B., Williams, J. (2021). Artificial Intelligence (AI) in the job interview process: toolkit for employers, careers advisors and hiring platforms.
- Mahmoud, A. A., Shawabkeh, T. A., Salameh, W. A., Al Amro, I. (2019, June). Performance predicting in hiring process and performance appraisals using machine learning. In 2019 10th international conference on information and communication systems (ICICS) (pp. 110-115). IEEE.
- Chen, Z. (2023). Collaboration among recruiters and artificial intelligence: removing human prejudices in employment. Cognition, Technology Work, 25(1), 135-149.
- Saad, M. F. M., Nugro, A. W. L., Thinakaran, R., Baijed, M. (2021, December). A review of artificial intelligence based platform in human resource recruitment process. In 2021 6th IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE) (Vol. 6, pp. 1-5). IEEE.
- Mahomodally, A. F. H., Suddul, G. (2022). An Enhanced Freelancer Management System with Machine Learning-based Hiring. Humanities, 9(3), 34-41.
- Suen, H. Y., Hung, K. E. (2023). Building trust in automatic video interviews using various AI interfaces: Tangibility, immediacy, and transparency. Computers in Human Behavior, 143, 107713.
- Hassan, S. Z., Salehi, P., Røed, R. K., Halvorsen, P., Baugerud, G. A., Johnson, M. S., ... Sabet, S. S. (2022, June). Towards an AI-driven talking avatar in virtual reality for investigative interviews of children. In Proceedings of the 2nd Workshop on Games Systems (pp. 9-15).
- Kelan, E. K. (2024). Algorithmic inclusion: Shaping the predictive algorithms of artificial intelligence in hiring. Human Resource Management Journal, 34(3), 694-707.
- Boudjani, N., Colas, V., Joubert, C., Amor, D. B. (2023, May). Ai chatbot for job interview. In 2023 46th MIPRO ICT and Electronics Convention (MIPRO) (pp. 1155-1160). IEEE.
- Dnyaneshwar, K. A., Poonam, G. (2024, June). AI-Driven Insights: Personality Evaluation in Asynchronous Video Interviews for Informed Hiring Decisions. In 2024 IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS) (pp. 1-6). IEEE.
An AI-powered platform called FreelanceNest is revolutionizing freelance recruiting by emphasizing openness
and skill-based assessments. The platform guarantees fair and objective evaluations based on real-world problem-solving,
as opposed to subjective assessments or resumes. The AI creates three customized problem statements depending on the
necessary skills when project managers enter project specifics. In order to ensure openness and industry-standard coding
techniques, freelancers choose a problem, fix it, and then submit their answer via GitHub. The AI backend assigns a score
and provides thorough comments after assessing contributions according to criteria including requirements alignment,
problem-solving methodology, and code quality. By automating the screening process, this method saves project managers
time while providing independent contractors with an equitable opportunity to demonstrate their abilities. FreelanceNest
expedites employment by emphasizing speed and merit, guaranteeing top-notch matching. By automating the screening
process, this method saves project managers time while providing independent contractors with an equitable opportunity
to demonstrate their abilities. FreelanceNest expedites the recruiting process by emphasizing efficiency and merit,
guaranteeing top-notch matches between independent contractors and projects, which eventually improves results for
both sides.
Keywords :
Freelancing Platform, Admin Dashboard, user Authentication, Project Management System, Role-Based Access Control.