Techaid: Ai-driven application for prognostic maintenance for smartphone hardware using linear regression

ABSTRACT: Smartphones have become essential tools for both personal and professional use, playing a critical role in maintaining efficient workflows across communication, productivity, and entertainment. However, as these devices grow more complex, hardware malfunctions can significantly disrupt their functionality. A statistic shows that the revenue of the industry “Repair of Computers and Communication Equipment” in the Philippines from 2012 to 2017 is projected to reach approximately 64.6 million USD by 2024 (Statista Research Department, 2023). Despite the growing demand for smartphone repair services, the lack of intelligent diagnostic tools often leaves users unaware of potential hardware defects until significant damage has occurred, leading to costly repairs, replacements, or loss of productivity. The purpose of this study is to predict smartphone hardware and provide preventive measures. The researchers from Pamantasan ng Lungsod ng Maynila (PLM) conducted the study using a convenience sample of 114 respondents. The study applied the ISO/IEC 25010 standard to evaluate the application’s functional suitability, usability, maintainability, and performance efficiency. The results demonstrated overall satisfaction across all evaluated categories: functional suitability scored a mean of 4.41, usability 4.34, and both maintainability and performance efficiency 4.37. The findings highlight the app’s effectiveness in delivering accurate diagnostics and preventive recommendations, offering significant value by reducing the impact of hardware failures on users.

Filipiniana