Architectural Framework for Scalable On-Demand Service Aid Platform

Govind Kumar; Deepa Kumari; Qadir Bux; Madeha Memon; Zartasha Baloch

Authors

Govind Kumar Department of Computer Systems Engineering, Mehran University of Engineering and Technology
Deepa Kumari Department of Computer Systems Engineering, Mehran University of Engineering and Technology
Qadir Bux Department of Computer Systems Engineering, Mehran University of Engineering and Technology
Madeha Memon Department of Computer Systems Engineering, Mehran University of Engineering and Technology
Zartasha Baloch Department of Computer Systems Engineering, Mehran University of Engineering and Technology

Keywords:

Empowerment, Machine Learning, MongoDB,, Labor.

Abstract

This innovative web-based platform 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 navigation and 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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