Abdullah Amir's Work | ContraWork by Abdullah Amir
Abdullah Amir
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Abdullah Amir

Full-Stack & AI Developer | React Native, Next.js, AI Agents

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Followed by Muhammad S, GALLERY L, and Zeeshan Z

Islamabad, Pakistan

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Islamabad, Pakistan

Cover image for SeaRebbel Marine Autopilot Navigation App
SeaRebbel Marine Autopilot Navigation App
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Cover image for Unified Commerce Platform for Habbal Jewellery
Unified Commerce Platform for Habbal Jewellery
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Cover image for Not every OnSense user is
Not every OnSense user is on the mobile app — some just want to ask a quick question about their appliance from a browser. Appliance GPT was built as a standalone web product: a focused, consumer-facing chat interface where anyone can describe an issue or ask about error codes, parts, or repairs and get an answer trained on appliance-specific knowledge, without needing to install anything. What I built I built the chat UI solo, using React and Next.js — the conversational interface, message flow, and front-end experience that consumers interact with directly at appliancegpt.onsense.ai (http://appliancegpt.onsense.ai). Stack: Next.js and React for the web chat interface Integration with OnSense's underlying AI/repair-knowledge backend What shipped A live, standalone web app giving consumers direct access to an AI appliance-support assistant — no app download required, just open the browser and ask.
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Cover image for Most people trying to fix
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
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