Development of android apps for matrix operations

Abstract

The prevalence of machine learning in contemporary technology often remains unnoticed, despite its pivotal role in advancements such as Optical Character Recognition (OCR). This project aims to develop an Android application that brings matrix operations to the forefront of educational tools. The application provides a tangible platform for both students and educators to interact with these essential computations.

The idea for the application stemmed from a thorough analysis of existing computational tools and educational methodologies. It features an intuitive user interface designed to simplify complex matrix operations, drawing parallels to how OCR technology utilizes matrices for image recognition.

Although the application has not yet undergone extensive testing with its target audience, initial comparisons with established websites confirm its computational accuracy. Furthermore, the interface has been iteratively refined based on early feedback and tested on the emulators Pixel 4A (Edited) API 30 and Pixel 2 API 31 and to display the intermediate calculations and results.

This report offers a comprehensive overview of the project, covering aspects such as introduction, literature review, implementation, user interface (UI) design, testing procedures, case study, and conclusion. It concludes with reflections on the project's learning outcomes and outlines potential avenues for future development to fully exploit the educational potential of matrix operations in the digital era.