TQC (Integrated Quality Control)
As part of my role, I built a FastAPI backend and Flutter Android app for a handheld terminal used in industrial quality control.
This page describes contributions made as part of my employment, not a project delivered independently by EdgeConn. Details are kept high level, without client or infrastructure specifics.
A handheld terminal for industrial quality control
TQC needed a backend and a Flutter Android app for a handheld terminal used in industrial quality control processes, with an AI model built by a teammate integrated into the app's workflow.
My role: backend and app development
As part of my role, I built the FastAPI backend and the Flutter Android app for the handheld terminal, and integrated a teammate's AI model into the app so quality-control results could be assisted by that model in the field. The system is deployed on the company's cloud infrastructure.
- FastAPI backend supporting the handheld terminal
- Flutter Android app for field use in quality control
- Integrated a teammate's AI model into the app's QC workflow
- Deployed on the company's cloud infrastructure
Android App
Web Dashboard
What I worked with
FastAPI for the backend and Flutter for the Android app, deployed on cloud infrastructure, with an AI model integrated into the QC workflow.
A working tool for field quality control
The app and backend are in use for industrial quality control, giving field users a handheld tool with AI-assisted results, backed by cloud infrastructure.
- Handheld QC terminal app in field use
- AI-assisted results integrated into the day-to-day workflow
- Backend and app deployed on cloud infrastructure
Have a similar problem to solve?
Tell us what's slowing your team down. We'll help you figure out what's actually worth building.