The project aims to develop a prototype for Upkeep, an AI-enabled mobile application designed to streamline the process of connecting users with skilled technicians for maintenance and odd jobs. The app will allow users to post job requests, receive matches with available technicians, and review job details, all within a user-friendly interface. The goal is to create a seamless experience that simplifies the management of maintenance tasks, from job posting to payment processing. By leveraging AI, the app will enhance the matching process, ensuring users are paired with the most suitable technicians based on their specific needs. This project provides an opportunity for learners to apply their knowledge in mobile app development, user interface design, and AI integration, focusing on creating a functional prototype that addresses real-world challenges in the service industry.

The deliverables for this project include an SDLC and a functional prototype of the Upkeep app, complete with core features such as job posting, technician matching, and payment management. Additionally, a detailed report outlining the AI algorithms used for matching and a user interface design document will be provided. The project will culminate in a presentation demonstrating the app's functionality and potential impact on the service industry.