DESIGN AND IMPLEMENTATION OF A LOCATION-BASED WEB APPLICATION FOR SKILLED WORKERS AND CLIENTS IN NIGERIA

Nigeria is experiencing a rapid increase in population, which will result in higher demand for skilled labour. Factors such as local needs, market dynamics, property management, and busier lifestyles contribute to this trend. However, accessing these services can be difficult when travelling or relocating to a new area due to the dispersed nature of service providers across the city and variations in cost, quality, and offerings. This poses challenges especially during urgent situations. The main aim of this research Is to develop a responsive web application for locating the nearest skilled workers using the users location to help in streamlining the process of acquiring skilled workers. The application includes a rating and review system which helps users make informed choices. The application lets skilled workers upload photos and details of their past projects. This helps them show off their skills to potential clients and serve as a marketing tool, giving users the option to choose workers based on their past success. HTML, CSS, and JavaScript were used to create the web applications interface. Bootstrap was used to ensure the application is responsive and accessible across various devices and screen sizes. Python and Django formed the core of the back-end. The application’s database was managed using Postgre SQL. The Haver sine algorithm was implemented to calculate the distance between the users location and available service providers. The Agile methodology guided the entire development process, supporting a flexible and iterative approach. Testing of the final application was successfully completed by potential users and the developer. According to test results, respondents agreed that the developed web application would effectively address shortcomings in existing systems by locating skilled workers nearby and providing a structured approach for assessing service quality. Users will benefit from easily finding skilled workers’ services tailored to their location, meeting the increasing demand for on-demand services.