AI-Based Smart Flood Detection and Early Warning System

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AI-Based Smart Healthcare Assistant Chatbot with IoT Sensors https://svsembedded.wordpress.com/2026/06/18/ai-based-smart-flood-detection-and-early-warning-system/ ESP32 + AI Agent + n8n Automation + Telegram Voice Alerts + Google Sheets + ThingSpeak Cloud Dashboard
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AI-Based Smart Healthcare Assistant Chatbot with IoT Sensors

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1. Project Overview

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This project is an AI-powered Smart Healthcare Monitoring System using:

  • ESP32 Microcontroller
  • MAX30102 Heart Rate & SpO2 Sensor
  • DHT22 Temperature & Humidity Sensor
  • ThingSpeak Cloud Dashboard
  • n8n Automation
  • Telegram Bot Alerts
  • Google Sheets Logging
  • Voice Notification System
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2. Components List

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Component Quantity Purpose
ESP32 Dev Board 1 Main Controller
MAX30102 Sensor 1 Heart Rate & SpO2 Monitoring
DHT22 Sensor 1 Temperature & Humidity
OLED Display 1 Display Sensor Data
Buzzer 1 Emergency Alert
LEDs 2 Status Indicators
Breadboard 1 Circuit Prototyping
Jumper Wires Several Connections
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3. Circuit Connections

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Sensor ESP32 Pin
DHT22 DATA GPIO4
MAX30102 SDA GPIO21
MAX30102 SCL GPIO22
Buzzer GPIO18
OLED SDA GPIO21
OLED SCL GPIO22
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4. System Flowchart

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START
↓
Initialize ESP32
↓
Connect WiFi
↓
Read Sensor Data
↓
Analyze Health Conditions
↓
Upload to ThingSpeak
↓
Send Data to n8n
↓
Store in Google Sheets
↓
Check Alert Conditions
↓
Send Telegram Voice Alert
↓
Repeat Loop
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5. ESP32 Arduino Source Code

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#include <WiFi.h>
#include <HTTPClient.h>
#include "ThingSpeak.h"
#include "DHT.h"

const char* ssid = "YOUR_WIFI";
const char* password = "YOUR_PASSWORD";

WiFiClient client;

unsigned long channelID = YOUR_CHANNEL_ID;
const char* writeAPIKey = "YOUR_API_KEY";

#define DHTPIN 4
#define DHTTYPE DHT22

DHT dht(DHTPIN, DHTTYPE);

float temperature;
float humidity;
int heartRate = 78;
int spo2 = 97;

void setup(){
Serial.begin(115200);
WiFi.begin(ssid, password);

while(WiFi.status() != WL_CONNECTED){
delay(1000);
Serial.println("Connecting...");
}

ThingSpeak.begin(client);
dht.begin();
}

void loop(){
temperature = dht.readTemperature();
humidity = dht.readHumidity();

ThingSpeak.setField(1, temperature);
ThingSpeak.setField(2, humidity);
ThingSpeak.setField(3, heartRate);
ThingSpeak.setField(4, spo2);

ThingSpeak.writeFields(channelID, writeAPIKey);

delay(15000);
}
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6. ThingSpeak Setup

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  1. Create ThingSpeak Account
  2. Create New Channel
  3. Add 4 Fields
  4. Copy Channel ID
  5. Copy Write API Key
  6. Paste into ESP32 Code
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7. Telegram Bot Setup

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  1. Open Telegram
  2. Search BotFather
  3. Type /newbot
  4. Enter Bot Name
  5. Enter Username
  6. Copy Bot Token
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https://api.telegram.org/botYOUR_TOKEN/getUpdates
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8. n8n Workflow

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Workflow Process:

Webhook Trigger
↓
Receive Sensor Data
↓
Save to Google Sheets
↓
Analyze Data
↓
IF abnormal condition
↓
Send Telegram Alert
↓
Generate Voice Notification
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9. Google Sheets Integration

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Column Description
Timestamp Date and Time
Temperature Body Temperature
Humidity Humidity Value
Heart Rate BPM Value
SpO2 Oxygen Level
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10. AI Power Prediction Logic

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Power = Voltage × Current

AI adjusts upload frequency based on battery percentage.

Battery Level Action
> 70% Upload every 15 seconds
40% - 70% Upload every 1 minute
< 40% Deep Sleep Mode
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11. Voice Notification Automation

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Voice alerts are generated using:

  • Google Text-to-Speech API
  • Telegram Audio Messages
  • n8n Automation
Emergency Warning.
Patient oxygen level is critically low.
Please seek medical assistance.
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12. Future Enhancements

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  • Machine Learning Health Prediction
  • Firebase Integration
  • Mobile App Dashboard
  • GPS Tracking
  • ECG Monitoring
  • Cloud AI Analytics
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13. Deployment Applications

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Application Use Case
Hospitals Patient Monitoring
Elderly Care Remote Health Tracking
Fitness Monitoring Health Analytics
Rural Healthcare Remote Diagnostics
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14. Conclusion

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This AI-Based Smart Healthcare Assistant combines:

  • IoT
  • AI
  • Cloud Computing
  • Automation
  • Healthcare Analytics

The system provides real-time monitoring, AI predictions, Telegram alerts, cloud dashboards, and automated healthcare assistance.

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15. Official Resources

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