AI Smart Multi-Language Voice Translation Device Using Raspberry Pi

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AI Smart Multi-Language Voice Translation Device Using Raspberry Pi + ESP32 + n8n Automation + Telegram Voice Alerts + Google Sheets + ThingSpeak Cloud Dashboard
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AI Smart Multi-Language Voice Translation Device Using Raspberry Pi

Project Overview

This project is an AI powered IoT voice translation system. It uses:
  • Raspberry Pi - AI voice processing
  • ESP32 - IoT controller
  • n8n - AI automation workflow
  • Telegram Bot - Voice alerts
  • Google Sheets - Cloud logging
  • ThingSpeak - IoT dashboard

System Architecture


User Voice
     |
     |
Raspberry Pi AI Engine
     |
Speech Recognition
     |
Translation Engine
     |
Text To Speech
     |
ESP32 IoT Controller
     |
n8n Automation
     |
-------------------------
Telegram
Google Sheets
ThingSpeak

Features

  • Real-time voice translation
  • Multi language support
  • AI speech recognition
  • Voice output
  • ESP32 monitoring
  • Telegram voice alerts
  • Cloud dashboard
  • Power prediction

Hardware Components

Component Purpose
Raspberry Pi 4/5 AI processing
ESP32 IoT control
Microphone Voice input
Speaker Audio output
INA219 Battery monitoring
DHT11 Temperature
OLED Display Status display

ESP32 Circuit Connection


INA219

VCC  -> ESP32 3.3V
GND  -> GND
SDA  -> GPIO21
SCL  -> GPIO22


DHT11

VCC -> 3.3V
DATA -> GPIO4
GND -> GND

ESP32 Source Code


#include WiFi.h
#include HTTPClient.h
#include DHT.h


#define DHTPIN 4


void setup()
{

Serial.begin(115200);

WiFi.begin(
"SSID",
"PASSWORD"
);

}


void loop()
{

float temp = dht.readTemperature();


HTTPClient http;

http.begin(
"http://server.com/data"
);

http.GET();

http.end();


delay(10000);

}

Raspberry Pi AI Translation Python


import speech_recognition as sr

from googletrans import Translator

import pyttsx3


translator = Translator()

engine = pyttsx3.init()


recognizer = sr.Recognizer()


while True:

 with sr.Microphone() as source:

  audio = recognizer.listen(source)


 text = recognizer.recognize_google(audio)


 result = translator.translate(
 text,
 dest='hi'
 )


 engine.say(result.text)

 engine.runAndWait()

n8n Automation Flow


ESP32 Data

      |

Webhook

      |

AI Agent

      |

Power Prediction

      |

---------------------

Telegram Alert

Google Sheet

ThingSpeak

n8n Workflow JSON


{

"nodes":[

{

"name":"ESP32 Webhook",

"type":"webhook"

},

{

"name":"AI Prediction",

"type":"function"

},

{

"name":"Telegram Alert",

"type":"telegram"

},

{

"name":"Google Sheet",

"type":"googleSheets"

}

]

}

Telegram Bot Setup

  1. Open Telegram
  2. Search BotFather
  3. Create new bot
  4. Copy API Token
  5. Add token into n8n Telegram node

Google Sheets Integration


Columns:

Time

Temperature

Battery

Language

Translation

ThingSpeak Dashboard

  • Temperature Graph
  • Battery Status
  • Translation Count
  • Power Prediction

AI Power Prediction



Remaining Time =

Battery Capacity /
Average Power Usage


Example:

5000mAh Battery

500mA usage


Result:

10 Hours Remaining

Voice Notification Automation


IF Battery < 20%

Send Telegram Voice Alert


IF Temperature > 40°C

Send Warning Alert

Deployment Steps

  1. Install Raspberry Pi OS
  2. Install AI libraries
  3. Connect ESP32
  4. Upload firmware
  5. Setup n8n
  6. Create Telegram Bot
  7. Connect Cloud Dashboard
  8. Test Translation

Future Enhancements

  • GPT based translation
  • Offline AI model
  • Camera translation
  • Wearable version
  • Solar charging
  • Mobile application

Final Result

AI Translation Assistant + Agentic IoT Automation System Using Raspberry Pi + ESP32 + n8n + Telegram + Cloud
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