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Snap-Med

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.

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Descripción

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.

Features

  • 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

How It Works

  1. User uploads or captures an image of a medicine strip.

  2. OCR extracts the printed brand name from the strip.

  3. The app matches the brand name with a drug information dataset.

  4. A drug info card is displayed showing:

    • Brand name and generic name

    • Usage

    • Composition

  5. Info is read aloud using TTS and shown as text.

Use Cases

  • 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

Judging Criteria Alignment

  • 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

Pila tecnológica

Node
Vite
Express
Appwrite
Gemini
Vercel
AI
API
Líder del equipoIImon Chakraborty
Sector
AIOther