AI-Enhanced Repair Management and Electronic Lifecycle Techniques

Venkatesh Patil; Harshad Lokhande; Saloni Patil; Swamini Phapale; Prasad Donglikar

doi:10.55524/ijircst.2026.14.3.5

Abstract

This research integrates the outcomes of various research conducted on electronic maintenance, repairability, and gadget lifespan within the past few years to design the GadgetCare platform. Recent research has shown how digital reminder systems and booking systems can increase the efficiency of gadget servicing. Big data research has demonstrated how the performance of gadgets remains constant over time while the interest of consumers in repairing the gadget decreases. Repair tracking systems and smart care systems have emphasized the importance of transparency in the gadget servicing process. Technical research has proposed the importance of gadget repairability while discussing the tradeoffs between gadget reliability and repairability. Predictive maintenance systems have proposed the importance of predictive health checking of gadgets. This research has proposed a GadgetCare system based on the integration of all the above research outcomes. This system is designed to increase the lifespan of gadgets while addressing the issue of gadget obsolescence. This research has proposed the evaluation metrics for the GadgetCare system.

Keywords

Gadget Maintenance, Repair Tracking Systems, Predictive Gadget Maintenance Systems, Gadget Repairability, Circular Economy, Iot, User Behavior, E-Waste.

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Cites this article as

V. Patil, H. Lokhande, S. Patil, S. Phapale, P. Donglikar, "AI-Enhanced Repair Management and Electronic Lifecycle Techniques", International Journal of Innovative Research in Computer Science and Technology (IJIRCST), Vol-14, Issue-3, Page No-39-49, 2026. Available from: https://doi.org/10.55524/ijircst.2026.14.3.5

Corresponding Author

Venkatesh Patil

B.Tech Scholar, Department of Computer Science and Engineering, MIT Art, Design and Technology University, Pune, India

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