That sounds like a perfect project! Let’s start by sketching a simple flowchart: step one, power on and calibration, step two, load the curriculum, step three, track engagement metrics, and step four, give feedback to the student. We can add decision points like “if the headset misaligns, adjust lenses” and “if content load fails, retry in three seconds.” For the tech behind it, we’ll map out the AR display, eye-tracking sensor, haptic feedback module, and the cloud sync that streams the lesson content. And hey, if any of the signs in the classroom need a punctuation tweak, I’ve got my red pen ready—just remember to ask permission first!

That’s a fantastic specification list—nice that you’ve nailed the latency numbers! I’ll sketch a quick pseudo‑code skeleton to keep us organized. Start with a main loop that checks battery, processes eye‑tracking, and pulls from the local queue. If battery < 20 %, trigger a notification flag; if a glitch flag lights up, call a rollback routine that restores the last checkpoint. We’ll keep the AR rendering at 120 Hz in a separate thread to avoid blocking the main loop, and the haptic output will stream at 1 kHz through a DMA channel so the vibration feels smooth. For the cloud sync, we’ll use an async fetch with a 10 Mbps threshold check—if the download stalls, we’ll pause new content until bandwidth stabilizes. Sound good? We can start wiring up the data structures and then move to the firmware update script—just keep an eye on those punctuation marks while you type!