Architectural Framework for Scalable On-Demand Service Aid Platform

This innovative web-based platform is designed to connect skilled workers with service seekers, addressing challenges such as accessibility, affordability, and trustworthiness in the skilled labor market. The platform provides a seamless experience for users, enabling them to post job requirements, browse available professionals, and hire based on specific needs, all within an intuitive interface. Built with modern technologies, the platform's front end is developed using HTML, CSS, JavaScript, and Bootstrap, ensuring responsiveness and ease of use. The back end, powered by Java with Spring Boot and integrated with a robust MySQL database, ensures efficient data management and secure user interactions. The platform’s architecture facilitates smooth navigationand quick access to essential features. Service seekers can easily sign up and explore a pool of skilled workers categorized by their expertise, location, and ratings. The system includes a user feedback mechanism that enhances trust by allowing users to rate and review workers based on their experiences. Workers, in turn, benefit from consistent job opportunities and the ability to showcase their skills to a wider audience. This project also addresses the unique challenges of underserved regions, such as Hyderabad, where digital platforms for hiring local services are scarce. By providing a comprehensive solution that caters to diverse household needs, from plumbing to carpentry, the platform bridges the gap between demand and supply in the skilled labor market. The research stands out as a transformative tool, creating economic opportunities for skilled workers while offering service seekers a reliable and efficient solution for their everyday needs. It fosters a sense of empowerment and convenience, making it a vital contribution to the digital transformation of the Labor market.

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Publication Details

Journal
International Journal of Innovations in Science and Technology
Published
2025-06-05
DOI
https://doi.org/10.33411/ijist/20257211321144
Primary Topic
Peer-to-Peer Network Technologies
Type
article
Field-Weighted Citation Impact
0.00
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article

Architectural Framework for Scalable On-Demand Service Aid Platform

Madeha Memon, Zartasha Baloch, G. V. Pavan Kumar, D. A. T. Kumari et al.
International Journal of Innovations in Science and Technology
Peer-to-Peer Network Technologies
article

Architectural Framework for Scalable On-Demand Service Aid Platform

Madeha Memon, Zartasha Baloch, G. V. Pavan Kumar, D. A. T. Kumari, Qadir Bux
article en

Abstract

This innovative web-based platform is designed to connect skilled workers with service seekers, addressing challenges such as accessibility, affordability, and trustworthiness in the skilled labor market. The platform provides a seamless experience for users, enabling them to post job requirements, browse available professionals, and hire based on specific needs, all within an intuitive interface. Built with modern technologies, the platform's front end is developed using HTML, CSS, JavaScript, and Bootstrap, ensuring responsiveness and ease of use. The back end, powered by Java with Spring Boot and integrated with a robust MySQL database, ensures efficient data management and secure user interactions. The platform’s architecture facilitates smooth navigationand quick access to essential features. Service seekers can easily sign up and explore a pool of skilled workers categorized by their expertise, location, and ratings. The system includes a user feedback mechanism that enhances trust by allowing users to rate and review workers based on their experiences. Workers, in turn, benefit from consistent job opportunities and the ability to showcase their skills to a wider audience. This project also addresses the unique challenges of underserved regions, such as Hyderabad, where digital platforms for hiring local services are scarce. By providing a comprehensive solution that caters to diverse household needs, from plumbing to carpentry, the platform bridges the gap between demand and supply in the skilled labor market. The research stands out as a transformative tool, creating economic opportunities for skilled workers while offering service seekers a reliable and efficient solution for their everyday needs. It fosters a sense of empowerment and convenience, making it a vital contribution to the digital transformation of the Labor market.

International Journal of Innovations in Science and Technology
Mehran University of Engineering and Technology (PK)
Openalex Percentile: Top 70%
Peer-to-Peer Network Technologies
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