About the project

I've built an AI-powered skin-analysis kiosk: a Raspberry Pi 5 driving a large portrait display with a webcam. A person walks up, the camera captures their face, an AI returns a skincare recommendation, and a QR code hands them off to a mobile flow. The software is already built and working on a laptop. What I need is someone to sit down with the actual hardware and get it running reliably on the Pi itself, then validate the full experience end to end.

This is a finishing-and-validation job, not a build-from-scratch job. The code is in good shape. The remaining work is hardware integration and confirming everything holds up on the real device.

What you'll do in the 6-hour sprint

Set up and configure the Raspberry Pi 5 (Raspberry Pi OS, Firefox ESR kiosk mode, autostart on boot, display rotation to portrait). Get the USB webcam negotiating proper resolution on the Pi at the driver level (v4l2 / MJPEG configuration). Confirm browser-based face detection runs reliably on the Pi's hardware. Run the full flow end to end on the device: face detection, photo capture, live API call, on-screen results, QR handoff. Work from an existing setup script and validation checklist (both already written). Document what you did and flag anything that needs a follow-up.

Must-have skills

Hands-on Raspberry Pi experience (provisioning, Linux command line, SSH, kiosk-mode setup). Comfort with the Linux camera/video stack (v4l2-ctl, USB webcam configuration). Working knowledge of web technologies (HTML/CSS/JavaScript) enough to read and debug an existing single-page app. Browser dev tools and console debugging. Git/GitHub.

Nice to have

Experience with kiosk or digital-signage deployments. Familiarity with MediaPipe or browser-based computer vision. Experience integrating web apps with REST APIs.

This could turn into ongoing work

I run several AI and Raspberry Pi projects out of this location. If this sprint goes well, there's steady project work available for the right person. I'm looking for someone reliable, sharp, and able to work independently, not just for one day but as a go-to for hardware and AI builds.

To apply, send me:

A one-paragraph summary of a Raspberry Pi or kiosk project you've personally built or deployed. Your availability over the next two weeks for a 6-hour on-site block. Your hourly or flat-day rate.

Location and compensation

This is on-site in Coconut Grove, Miami FL (private home office). Local Miami candidates only. This is a contract, one-day project. Compensation is a flat $600 for the 6-hour on-site sprint, with potential for ongoing project work.

Pay: $600.00 per day

Application Question(s):

• Briefly describe the last time you got a USB camera working on a Raspberry Pi. What formats/resolutions did it report, what snag did you hit, and how did you solve it at the driver level (e.g. v4l2, MJPEG vs raw YUYV)?
• This is a finishing job on an already-built single-page app. How comfortable are you working only on the hardware/driver layer and debugging existing code without rewriting it? Give a brief example.
• This role is 100% on-site in a private home office in Coconut Grove (local Miami candidates only) for a single 6-hour block. Are you local and able to work on-site, and what is your availability over the next two weeks?
• You're an hour into a hardware problem on the Pi with no progress. Walk me through how you'd troubleshoot it and when you'd decide to flag it rather than keep trying things.

Work Location: In person