// the take
Q-Vu is a UCL student coursework project (COMP0016) building a virtual queue system for GP/NHS clinics: patients text a Twilio number to join a queue, a Django/Azure backend tracks position, and a Windows Java desktop app lets receptionists see who's waiting along with NLP-classified descriptions of their issue. It's a one-term class prototype, not a maintained product.
Wires together a real SMS webhook flow (Twilio -> Django view -> queue state) rather than just mocking it, and includes a side-by-side comparison of Google/IBM/Microsoft NLP APIs for triaging patient-submitted text, which is a more rigorous evaluation than most student projects bother with. The Azure deployment path (postgres up + webapp up) is documented concretely enough to actually reproduce.
Dead since March 2021 with no commits since, so any dependency here (Twilio SDK, Django version, the Google NLP trial) is years out of date and the README itself admits the NLP credentials were on a trial account that expired by May 2021 with no plan to replace them. The receptionist client is a Windows-only desktop app bundling a full embedded JRE, which is a deployment and security headache (unpatched Java runtime shipped in-repo) and a dead end for anyone not on Windows. This handles real patient health complaint text and queue data with no visible encryption, access control, or compliance consideration beyond a records.txt log file, which would be disqualifying for anything touching actual NHS data.
We read the README, the directory tree and a key source file in October 2026. Nobody pays to be listed. How we judge →