SnapMed is a web app that identifies medicine strips using OCR and fetches key drug information like usage, dosage, and composition through a medical API. Built for accessibility.
SnapMed is a lightweight web application that helps users identify medicines by scanning or uploading a photo of a medicine strip. The app extracts the brand name using OCR and provides key information such as usage, dosage, and side effects in a simple, user-friendly format.
Strip detection via image upload
OCR-based medicine name extraction
Drug information lookup from a trusted medical API
Text-To-Speech (TTS) for accessibility
Support for multiple languages (English, Hindi, Bengali)
Clean, responsive UI
User uploads or captures an image of a medicine strip.
OCR extracts the printed brand name from the strip.
The app matches the brand name with a drug information dataset.
A drug info card is displayed showing:
Brand name and generic name
Usage
Composition
Info is read aloud using TTS and shown as text.
Elderly or rural users who cannot read complex medical text
Community health workers who need quick medicine info
Cases of medicine misuse due to confusion or lack of literacy
Innovation: Practical AI usage in health context
Technical Implementation: OCR + drug data + TTS
Impact: Solves a real and local problem
UI/UX: Simple, accessible, mobile-friendly interface
Bonus: Uses OCR, designed for underrepresented users