Fixmate: Enhancing Device Repairability using Machine Learning

Fixmate estimates the issue and provides device owners with the repairability score. The mobile application incorporates machine learning that enables diagnosis and guidance on how to fix an electronic device in real time. A proprietary database with fault and procedures order allows device owner to get an instant fix. Fixmate supports system model cut information via keyword, age, and brand. After the detail is keyed in, Fixmate provides a slider with potential issue ranking and an estimate on how easy it would be to fix. Fixmate uses machine learning to take into account multiple factors, including the complexity of the issue, estimated repair time, the age of the device, and if the required parts are in stock. Findings proved that Fixmate was able to attain a 92% accuracy in diagnostics while achieving a MAE of 0.1 when estimating the ease of repairs - a 15% increase over the previous rule-based methods. Device owners can simply click do it myself and follow the video with the images or find a local service directly on the map provided by Fixmate in cases when the issue is complicated and requires a pro. Fixmate serves to enhance the context of eco-friendly by fostering a repair culture to combat e-waste through effective and affordable solutions. Combine with the mobile app guide unlike any other, the step-by-step instructional app.