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 Smart Healthcare Assistant Project";
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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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- Create ThingSpeak Account
- Create New Channel
- Add 4 Fields
- Copy Channel ID
- Copy Write API Key
- Paste into ESP32 Code
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7. Telegram Bot Setup
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- Open Telegram
- Search BotFather
- Type /newbot
- Enter Bot Name
- Enter Username
- 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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