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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM55108

An Intelligent Crew Hiring and Scheduled Booking platform using AI

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM55108

Volume:

9 |

12 |

Dec 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM55108

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.

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Authors

DKS

Dr. Kaipa Sandhya

A

Ashutosh

EN

Ekanthesha N

PV

Pavan V

JPR

J Pruthvi Raj

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Abstract

Man Hire is a digital marketplace designed to connect customers with reliable blue-collar workers such as plumbers, drivers, cleaners and electricians in real time. The objective of the platform is to reduce the inefficiencies of the unorganised labour market by using artificial intelligence and machine learning to match customers with suitable workers based on their location, skills, availability and ratings. The proposed system will verify workers to enhance trust and safety, introduce a fair and transparent pricing model to reduce conflicts, and enable secure digital payments for hassle-free transactions. The methodology involves developing a mobile application with AI-based recommendation algorithms, worker verification workflows and an integrated payment gateway. Expected results include reduced hiring time for customers, increased and more consistent job opportunities for workers, and improved overall service quality. The significance of Man Hire lies in its potential to formalise daily wage work, reduce dependence on middlemen, and create a more equitable and efficient ecosystem for both workers and customers.

KEYWORDS

Man Hire digital marketplace daily wage workers AI-based matching labour market gig economy.

Cite This Article

Dr. Kaipa Sandhya, Ashutosh, Ekanthesha N, Pavan V, J Pruthvi Raj, "An Intelligent Crew Hiring and Scheduled Booking platform using AI," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 12, Dec 2025. https://doi.org/10.55041/IJSREM55108

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Publication Date

12/11/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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0

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2

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5

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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