This research paper focuses on the on-demand home services industry and proposes enhancements for existing apps on the market. The market analysis reveals the rapid growth of the on-demand services market and identifies the challenges faced by customers and service providers. The user experience of existing apps on the market highlights the need for a more seamless and user-friendly platform. The literature review and related work provide insights into the features, technologies, and business models used in on-demand service apps. The proposed work suggests adding features such as real-time tracking, seamless payment integration, and personalized recommendations to enhance the user experience. The technological aspects of the proposed features are discussed, and the potential social impact of the app is evaluated. The summarized results and future enhancements, including the integration of AI and machine learning algorithms for personalized service recommendations are discussed. Overall, the proposed enhancements could offer a better experience for users and help on-demand home service providers stay competitive in the rapidly growing market.