# 🩺 MediQuery

**MediQuery** is a full-stack medical assistant web app that allows users to:
- Search for nearby medical stores based on location (manual input or GPS).
- Get medicine suggestions based on entered symptoms.
- Works without Google Maps — uses OpenStreetMap (Nominatim + Overpass API).

## 🔗 Live Demo

🌐 Frontend: [https://mediquery.vercel.app](https://mediquery.vercel.app)  
⚙️ Backend: [https://mediquery-server.onrender.com](https://mediquery-server.onrender.com)

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## 🚀 Features

- 📍 Location-based search for pharmacies using OpenStreetMap.
- 📦 Intelligent medicine suggestions via Google Custom Search API.
- 🔐 CORS-enabled and RESTful APIs.
- ⚡ Fast, mobile-friendly UI using modern stack (Next.js, Tailwind).

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## 🛠️ Tech Stack

| Frontend          | Backend         | APIs Used                 |
|------------------|----------------|---------------------------|
| Next.js (App dir) | Node.js, Express | OpenStreetMap Nominatim API |
| Tailwind CSS      | node-fetch     | Overpass API              |
| Vercel (Hosting)  | Render (Hosting) | Google Custom Search API (optional) |

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## 🧑‍💻 Getting Started

### 1. Clone the Repository

```bash
git clone https://github.com/kunalcoder45/MediQuery.git
cd MediQuery

2. Start the Backend (Server)

cd server
npm install
node server.js

Make sure PORT 3000 is free and you are connected to the internet.

3. Start the Frontend (Client)

cd ../client
npm install
npm run dev

Open: http://localhost:3000

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🌍 Deployment

Backend (Render)

1. Push server/ to a separate GitHub repo.
2. Go to Render, create a new Web Service.
3. Set build command: npm install
4. Set start command: node server.js
5. Add environment: PORT = 3000

Frontend (Vercel)

1. Push client/ to GitHub.

2. Go to Vercel, import the repo.

3. Add .env variable:

   NEXT_PUBLIC_API_URL = https://your-backend-url.onrender.com

4. Add vercel.json for SPA routing:

   {
     "rewrites": [{ "source": "/(.*)", "destination": "/" }]
   }

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📬 API Reference

POST /api/medical-stores

Body:

{
  "location": "ranchi"
}

Response:

{
  "stores": [
    {
      "id": 123456,
      "name": "Health Pharmacy",
      "phone": "N/A",
      "lat": "23.3441",
      "lon": "85.3096"
    },
    ...
  ]
}

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🧠 Future Improvements

• Add medicine detail pages.
• Save user search history.
• Support user authentication (login/signup).
• Use AI for smarter symptom analysis.

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👨‍💻 Author

Made with ❤️ by @kunalcoder45

📄 License

This project is licensed under the MIT License.