Most people trying to fix a home appliance are stuck flipping through a PDF manual or guessing which part is causing an issue. OnSense set out to replace that with an app where entering a model number instantly surfaces specs, part breakdowns, and an AI assistant trained specifically on appliance repair knowledge — not a generic chatbot.

What I worked on

As part of the mobile engineering work on the React Native (Expo) app, I built the OCR module that lets users scan an appliance's nameplate with their camera to automatically identify the model and pull it into the system — removing the need to manually type in model numbers that are often worn, tiny, or hard to read.

Stack:

React Native (Expo) for iOS and Android

OCR/camera-based scanning for nameplate recognition

AI chat integration (OnSense GPT) for appliance-specific Q&A

Backend integration with the platform's parts and repair-knowledge database

What's in the app:

Model lookup by number, with detailed specs and part breakdowns

Exploded View module — an interactive, clickable diagram of appliance parts

OnSense GPT chat assistant for error codes, repair steps, and part compatibility

Nameplate scanning via OCR for fast, accurate model identification

Parts cross-referencing against verified compatibility databases