🌱 Sensor Data API

A Node.js + Express REST API to collect and manage sensor data such as temperature, humidity, soil moisture, vibration, and location. MongoDB Atlas is used for cloud-based storage.

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🚀 Features

• ✅ RESTful API with Express.js
• 🌍 Cloud database with MongoDB Atlas
• 📦 Data Schema with Mongoose
• 🕒 Auto-generated timestamps
• 📡 Sensor data includes:
  • Temperature
  • Humidity
  • Soil Moisture
  • Vibration
  • Location (Latitude & Longitude)

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🛠️ Tech Stack

• Backend: Node.js, Express.js
• Database: MongoDB Atlas
• ODM: Mongoose

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📁 Project Structure

Sensor-data-Server/ │ ├── models/ │ └── SensorData.js # Mongoose schema │ ├── routes/ │ └── sensor.js # API route for data posting/getting │ ├── .env # Environment variables (Mongo URI, PORT) ├── server.js # Main server file └── package.json

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⚙️ Installation

1. Clone the repo:

git clone https://github.com/your-username/Sensor-data-Server.git
cd Sensor-data-Server

Install Dependencies"

npm install PORT=3000
MONGO_URI=your_mongo_atlas_connection_string node server.js

📬 API Endpoints Method Endpoint Description
POST /api/sensor Submit sensor data
GET /api/sensor Retrieve all sensor data

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📌 Example Sensor Data JSON

{ "temperature": 24.5,
"humidity": 65,
"soilMoisture": 40,
"vibration": false,
"location": {
"latitude": 28.7041,
"longitude": 77.1025
} }

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🌐 Deployment
When deploying (e.g., on Render, Railway, or Heroku), ensure you:
Use process.env.PORT || 3000 in your server.js.
Store MONGO_URI securely as an environment variable.

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👨‍💻 Author Kushal Sharma
📧 [email protected]
🔗 LinkedIn https://www.linkedin.com/in/kushal-sharma-67378a279/