WINDOW-BASEDAUTOMATED MATHEMATICAL SOLVING APPLICATION MODEL

The phobia exhibited in solving mathematical problems by many primary, secondary, and tertiary pupils and students has posed a significant challenge in society, compounded by the limited number of mathematics teachers in schools. This paper proposes a dynamic approach to automating mathematical solutions, making the system widely accessible for solving mathematical problems. The system integrates the capabilities of Python and Django programming languages to develop a window-based automated mathematical solving application model. The application supports both voice and text inputs, parsing mathematical expressions from the input string. The parsed input is preprocessed by a mathematical engine, which generates the required output. This model analyzes and procedurally presents the mathematical solutions in a user-friendly manner. When deployed, the system achieved an accuracy of 98% compared to other automated mathematical applications. The solving capabilities of various mathematical solution steps were evaluated, yielding positive results.