arventiqlabs.com Bengaluru, India
Healthcare & MedTech · Intermediate

Prescription reader that prevents dispensing errors

HLT-02 · Original hackathon problem statement from Arventiq Labs

The problem

Handwritten prescriptions lead to misread drug names and doses, and similar-sounding medicines are easily confused at the counter.

What to build

Create a tool that digitises a prescription image, matches drugs against a reference list and warns about look-alike names, duplicate therapy and dose limits.

Success looks like

Drug-name extraction above 90% on a sample of real-style prescriptions with a clear confidence indicator and a human confirmation step.

Suggested technologies

  • OCR
  • Fuzzy matching
  • Drug databases
  • Mobile camera
  • Human-in-the-loop

An original, independent statement. It is not an official Smart India Hackathon problem statement, and Arventiq Labs is not affiliated with or endorsed by that programme. The scenario is illustrative and does not describe any specific organisation. Free to use with credit.