TECHAID: AI-driven application for prognostic maintenance for mobile hardware using linear regression

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. The “Repair of Computers and Communication Equipment” industry in the Philippines is projected to reach approximately 64.6 million USD by 2024 [1], reflecting a growing demand for smartphone repairs. However, a lack of intelligent diagnostic tools leaves users unaware of potential hardware defects until significant damage occurs, resulting in costly repairs and productivity losses. The purpose of this study is to predict mobile hardware and provide preventive measures. The researchers from Pamantasan ng Lungsod ng Maynila (PLM) conducted the study using a purposive 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 application’s effectiveness in delivering accurate diagnostics and preventive recommendations, offering significant value by reducing the impact of hardware failures on users.