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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM68653
Volume:
10 |
10 |
Oct 2026
Pages:
1-4
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Artificial Intelligence & Machine Learning
Zeal Institute
Artificial Intelligence & Machine Learning
Zeal Institute
Artificial Intelligence & Machine Learning
Zeal Institute
Artificial Intelligence & Machine Learning
Zeal Institute
Artificial Intelligence & Machine Learning
Zeal Institute
Artificial Intelligence & Machine Learning
Zeal Institute
Finding suitable workers, arranging bookings, and coordinating field labour can be difficult when information is maintained through phone calls, informal contacts, or separate records. This paper presents KaamSetu, an integrated worker booking and field labour management system intended to organize interaction between customers, workers, and administrative users in one digital platform. The system's functional scope includes worker information management, service requests, booking records, booking-status updates, administrative coordination, and easy to login, subject to the features implemented in the submitted application. The system accepts a service request, validates the submitted information, records the booking, and makes relevant status information available to authorized users. The application was developed using Python for programming language streamlit for frontend framework, and SQLite for Database. Scikit-learn and pandas for text processing and worker matching. The system was tested using manual functional testing with predefined test cases to check user registration, job posting, worker matching, booking management and suspicious activity review. Verified test counts and measured results should be added from the completed application before final submission. It describes the problem, related work, system architecture, workflow, functional modules, implementation, and evaluation approach .
KEYWORDS
This paper presents KaamSetu, an Integrated Worker Booking and Field Labour Management System intended to organize the interaction between customers, workers, and administrative users. The system's core purpose is to centralize worker information, service requests, booking records, and relevant status updates in a structured workflow. The completed application should be evaluated through documented functional tests and actual observations. Future development may include location-aware worker discovery, attendance records, notifications, online payment integration, job-history reports, or data-driven worker recommendations. These are future possibilities unless already implemented.
[1] A. Vallas and J. B. Schor, “What Do Platforms Do? Understanding the Gig Economy,” Annual Review of Sociology, vol. 46, pp. 273–294, 2020. doi: 10.1146/annurev-soc-121919-054857. [2] V. De Stefano, “The Rise of the ‘Just-in-Time Workforce’: On-Demand Work, Crowdwork, and Labor Protection in the ‘Gig-Economy’,” Comparative Labor Law & Policy Journal, vol. 37, no. 3, pp. 471–504, 2016. [3] [Author(s)], “[Title of a peer-reviewed study on online service booking or labour-management systems],” [Journal/Conference], [volume/issue/pages], [year], [DOI/URL]. [4] [Organization], “[Name of the actual framework/database documentation used in KaamSetu],” [URL], accessed [date]. [5] [Author(s)], “[Title of a relevant software testing or usability study],” [Journal/Conference], [publication details], [year], [DOI/URL].
Publication Date
10/31/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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