SnapMed – Identify Medicine Strips with One Click

Team Syndicate
Hack4Bengal 4.0

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.

Note

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

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Role	Tech used
ML
Backend
Frontend

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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.

Access the prod in

https://snap-med.vercel.app/snap

Project Structure

Snap-Med/
├── Backend/
│   ├── public/
│   ├── src/
│   ├── test/
│   ├── .gitignore
│   ├── package.json
│   ├── package-lock.json
│   ├── tsconfig.json
│   ├── todo.txt
│   └── vercel.json
│
├── Frontend/
│   ├── public/
│   ├── src/
│   ├── .gitignore
│   ├── eslint.config.js
│   ├── index.html
│   ├── package.json
│   ├── package-lock.json
│   ├── postcss.config.js
│   ├── tailwind.config.js
│   ├── todo.txt
│   ├── vercel.json
│   └── vite.config.js
│
├── ML/
│   ├── .env.exammple
│   ├── .gitignore
│   ├── package.json
│   ├── package-lock.json
│   ├── server.js
│   └── todo.txt
│
├── LICENSE
└── README.md

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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

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Important

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

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Team

Team Syndicate – Hack4Bengal 4.0
Built Snap-Med to make medicine information accessible to everyone.

Member	Role	Branch
Debjeet Banerjee	ML	ML
Imon Chakraborty	Backend	Backend
Nilanjan Mondal	Frontend	Frontend