Work-Whiz

Abstract

With the increase of digital online services over the web, the demand for efficient/effective and convenient digital solutions to everyday problem is on increase. Online platforms support so many of our daily activities that we have become dependent on them in our personal and professional lives. We rely on them to buy and sell goods and services, to find information online, and to keep in touch with each other. We use them for entertainment, news, transportation, accommodation, finding jobs and employees, finding apps, and many other purposes. [1] Therefore, as a result several industries has proposed and provided a solution to their services digitally, for instance, ordering food, or sale purchase of products. This problem has been addressed internationally where several IT solutions have been proposed and exist. However, there are very less IT efforts that have been reported and addressed for Pakistan. Pakistan which consists of around 241.49 million [2] population and is increasing rapidly. Providing the physical solution for such an increasing population is a time-consuming, laborious, and thus expansive task. Therefore, this Final Year Project (FYP) proposes and presents the online solution (thereafter Work Whiz) of several services using the web and with the integration of Artificial Intelligence (AI). The primary objective of FYP is to create a comprehensive as well as user-friendly website and mobile application with the integration of AI features to facilitate users. Users will be provided with several services (for instance, plumbing, home repair, car maintenance, etc.), book appointments, request quotations, see reviews, and post tasks including real-time tracking of service providers, notifications, and in-app messaging. Furthermore, service providers can add further services, view detailed profiles of service providers, and read reviews and ratings from previous customers. Moreover, the users will also have the facility to give reviews which our AI-based integrated module automatically analyses and recommends to the users.