IoT Platform
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Supported Sensors

25+ sensor types

Temperature

Humidity

Light

Air Flow

Voltage

Air Quality

Water

Vibration

17 more types

Compatible Devices

Arduino (Uno, Mega, Nano)
ESP32 / ESP8266
Raspberry Pi
NodeMCU
STM32 Boards

Welcome Back

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Platform Features

Unlimited Data

Real-time Charts

ML Analytics

Data Export

Quick Start

4 simple steps

1

Create Channel

Set up your IoT channel with custom fields

2

Connect Device

Use Arduino, ESP32, or any IoT board

3

Send Data

POST sensor readings via HTTP API

4

Monitor Live

View real-time data and analytics

API Endpoint

POST /api/data
api_key=YOUR_KEY
field1=25.5
field2=60.2

Development Tools

RESTful API Documentation
Arduino Library Support
Python SDK Available
Node.js Integration
MQTT Protocol Support

100% Free

No limits • No credit card

Real-World Applications

Industry-proven IoT solutions across sectors

Agriculture

  • Soil moisture monitoring
  • Weather station tracking
  • Greenhouse automation
  • Smart irrigation systems
  • Crop health monitoring

Smart Home & Building

  • Room temperature control
  • Energy consumption tracking
  • Security & motion sensors
  • Air quality monitoring
  • Smart lighting systems

Industrial IoT

  • Machine health monitoring
  • Vibration analysis
  • Power consumption tracking
  • Production line monitoring
  • Predictive maintenance

Environmental

  • Air quality index tracking
  • Water quality analysis
  • Pollution level monitoring
  • Climate data collection
  • Weather pattern analysis

Healthcare

  • Patient vital signs tracking
  • Medical equipment monitoring
  • Temperature-sensitive storage
  • Remote patient monitoring
  • Wearable health devices

Transportation

  • GPS vehicle tracking
  • Fleet management systems
  • Traffic flow monitoring
  • Speed & distance tracking
  • Cold chain monitoring

Education

  • Science fair projects
  • Laboratory experiments
  • IoT learning platforms
  • Research data collection
  • Student innovation projects

Energy & Power

  • Solar panel monitoring
  • Power consumption tracking
  • Battery management systems
  • Smart grid optimization
  • Renewable energy tracking

How to Connect Sensors

Step-by-step integration guide

Hardware Setup

  1. 1 Connect sensor to Arduino/ESP32 (VCC, GND, Signal pins)
  2. 2 Install sensor library in Arduino IDE
  3. 3 Test readings via Serial Monitor

Software Integration

  1. 1 Create channel and get API key
  2. 2 Add WiFi credentials to code
  3. 3 Send data via HTTP POST

Data Monitoring

  1. 1 View real-time data in dashboard
  2. 2 Analyze with ML-powered tools
  3. 3 Export data to CSV format

Sample Arduino Code (ESP32/ESP8266)

Ready to use
#include <WiFi.h>
#include <HTTPClient.h>

const char* ssid = "YOUR_WIFI_SSID";
const char* password = "YOUR_WIFI_PASSWORD";
const char* serverName = "https://iot.makeacademy.in/api/data";
const char* apiKey = "YOUR_API_KEY";

void setup() {
  Serial.begin(115200);
  WiFi.begin(ssid, password);
  
  while (WiFi.status() != WL_CONNECTED) {
    delay(1000);
    Serial.println("Connecting to WiFi...");
  }
  Serial.println("Connected!");
}

void loop() {
  if(WiFi.status() == WL_CONNECTED) {
    HTTPClient http;
    
    // Read sensor values
    float temperature = 25.5;
    float humidity = 60.2;
    
    // Prepare POST data
    String postData = "api_key=" + String(apiKey);
    postData += "&field1=" + String(temperature);
    postData += "&field2=" + String(humidity);
    
    http.begin(serverName);
    http.addHeader("Content-Type", "application/x-www-form-urlencoded");
    
    int httpResponseCode = http.POST(postData);
    Serial.println("Response: " + String(httpResponseCode));
    
    http.end();
  }
  
  delay(15000); // Send every 15 seconds
}
Modify for your sensor type

Contact Information

Bangalore Office

Madiwala, Venkatapura, HSR Layout 5th Sector, Bengaluru, Karnataka 560068

Krishnagiri Office

Door No: 5/293-1, Thiruvalluvar Nagar, 2nd Cross, Krishnagiri - 635001

Phone

+91 9488917854

+91 8098 783 144

Email

makelabsmail@gmail.com