How I Built an AI Phone Caller Using ESP32 and SIM800L
Imagine an IoT device that can make real phone calls, play AI-generated voice messages, and trigger automatically based on events. That's exactly what I built using an ESP32 microcontroller, a SIM800L GSM module, and some creative audio integration. This project combines hardware, telephony, and AI in a fascinating way.
The Concept
The goal was simple but ambitious: create a device that can:
- Make phone calls to any number programmatically
- Play pre-recorded or AI-generated voice messages during the call
- Trigger calls based on sensors, webhooks, or scheduled events
- Operate independently without requiring a smartphone or computer
Applications could range from emergency alerts and appointment reminders to IoT notifications and automated customer service.
Hardware Components
ESP32 Development Board
The brain of the operation. The ESP32 provides:
- Processing power to run code and logic
- GPIO pins for connecting modules
- Wi-Fi capability for remote control and updates
- Dual-core processor for handling multiple tasks
SIM800L GSM/GPRS Module
This small module enables cellular communication:
- Makes and receives phone calls
- Sends and receives SMS messages
- GPRS data connectivity
- Quad-band GSM support (works globally)
- Requires 3.7V-4.2V power (important for stability)
ISD1820 Voice Recording Module
For audio playback during calls:
- Records and plays audio messages
- 10-second recording capacity (expandable with external chips)
- Simple push-button interface
- Audio output that connects to SIM800L's microphone input
Other Components
- SIM card Active cellular plan with voice calling enabled
- Power supply Stable 5V source (SIM800L can draw 2A during calls)
- Capacitors 1000�F to handle current spikes from SIM800L
- Resistors For voltage dividers if needed
- Breadboard and jumper wires For prototyping
Wiring the System
ESP32 to SIM800L
ESP32 TX (GPIO17) � SIM800L RX
ESP32 RX (GPIO16) � SIM800L TX
ESP32 GND � SIM800L GND
SIM800L VCC � 3.7V-4.2V power source (with 1000�F capacitor)
ISD1820 to SIM800L
ISD1820 SP+ � SIM800L MIC+
ISD1820 SP- � SIM800L MIC-
ISD1820 VCC � 5V
ISD1820 GND � Common GND
ISD1820 PLAYE � ESP32 GPIO (for trigger control)
Critical note: The SIM800L is extremely sensitive to power quality. Use a dedicated power supply capable of providing at least 2A, and add a large capacitor (1000�F or more) close to the module to prevent brownouts during transmission.
Programming the ESP32
AT Commands Basics
The SIM800L is controlled via AT commands sent over serial communication. Key commands for our project:
AT // Test command
AT+CREG? // Check network registration
AT+CSQ // Check signal quality
ATD+91XXXXXXXXXX; // Dial a number (replace with actual number)
ATH // Hang up call
AT+CLVL=100 // Set speaker volume (0-100)
Sample ESP32 Code Structure
#include <HardwareSerial.h>
HardwareSerial sim800(1);
void setup() {
Serial.begin(115200);
sim800.begin(9600, SERIAL_8N1, 16, 17); // RX, TX
delay(3000);
sendCommand("AT", 1000);
sendCommand("AT+CREG?", 1000);
}
void sendCommand(String cmd, int timeout) {
sim800.println(cmd);
long int time = millis();
while((time + timeout) > millis()) {
while(sim800.available()) {
Serial.write(sim800.read());
}
}
}
void makeCall(String number) {
sendCommand("ATD" + number + ";", 1000);
delay(20000); // Call duration
sendCommand("ATH", 1000); // Hang up
}
Integrating Voice Playback
When the call connects, trigger the ISD1820 to play the recorded message:
void playMessage() {
digitalWrite(ISD1820_PLAY_PIN, LOW);
delay(100);
digitalWrite(ISD1820_PLAY_PIN, HIGH);
}
void makeCallWithMessage(String number) {
sendCommand("ATD" + number + ";", 1000);
delay(5000); // Wait for call to connect
playMessage(); // Trigger audio playback
delay(15000); // Play duration
sendCommand("ATH", 1000); // Hang up
}
Voice Integration Options
Option 1: Pre-recorded Messages (Simple)
Record a message directly on the ISD1820 module:
- Press and hold the REC button
- Speak your message (up to 10 seconds)
- Release button to stop recording
- Press PLAY to test
Pros: Simple, works offline, no external dependencies
Cons: Fixed message, limited duration, manual recording required
Option 2: AI-Generated Voice (Advanced)
Use text-to-speech APIs to generate dynamic messages:
- Generate audio Use OpenAI TTS, Google Cloud Text-to-Speech, or ElevenLabs API
- Store on SD card Save MP3 files to microSD connected to ESP32
- Play via module Use DFPlayer Mini MP3 module instead of ISD1820
- Trigger during call Same principle as ISD1820
Pros: Dynamic messages, realistic voices, can include variables (name, time, data)
Cons: Requires internet initially, more complex hardware, API costs
DFPlayer Mini Integration
For AI-generated audio, replace ISD1820 with DFPlayer Mini:
ESP32 RX (GPIO4) � DFPlayer TX
ESP32 TX (GPIO2) � DFPlayer RX
DFPlayer SPK+ � SIM800L MIC+
DFPlayer SPK- � SIM800L MIC-
Use the DFRobotDFPlayerMini library to control playback programmatically.
Automation with n8n
To make this truly powerful, integrate with n8n (an automation platform) to trigger calls based on events:
Workflow Example: Emergency Alert System
- Sensor triggers Temperature sensor detects fire (ESP32 sends HTTP request)
- n8n receives webhook Processes the alert
- Generate voice message n8n calls text-to-speech API with details
- Store audio Saves to accessible location
- Trigger ESP32 Sends command to make call
- ESP32 calls number Plays emergency message
Other Use Cases
- Appointment reminders Schedule calls to remind about bookings
- Delivery notifications Alert when package arrives
- System monitoring Call admin when server goes down
- Home security Call owner when motion detected
- Weather alerts Warn about severe weather conditions
Challenges and Solutions
Challenge 1: SIM800L Power Issues
Problem: Module keeps resetting, showing "UNDER-VOLTAGE WARNING"
Solution: Use dedicated 3.7V-4.2V power supply with at least 2A capacity. Add 1000�F capacitor across VCC and GND. Don't power from ESP32's 3.3V pin.
Challenge 2: Call Audio Quality
Problem: Voice message sounds distorted or too quiet
Solution: Adjust ISD1820/DFPlayer output volume. Use AT+CLVL command to set SIM800L speaker volume. Ensure proper ground connection between all modules.
Challenge 3: Network Registration
Problem: SIM800L can't connect to network
Solution: Check SIM card is activated and has calling enabled. Use AT+CREG? to check registration status. Ensure antenna is properly connected. Try different locations for better signal.
Challenge 4: Timing Issues
Problem: Voice plays before call connects or after it disconnects
Solution: Add sufficient delay after ATD command (5-10 seconds depending on network). Monitor call status with AT+CLCC command to detect connection.
Educational Value
This project taught me about:
GSM Module Operation
- How cellular networks handle voice calls
- AT command protocol for modem control
- Power requirements of RF transmission
- Signal quality and network registration
AI Voice APIs
- Text-to-speech synthesis technologies
- Audio format conversion and optimization
- API authentication and rate limiting
- Cost management for cloud services
IoT Integration
- Triggering hardware actions from software events
- Webhook-based communication
- Real-time system monitoring and alerts
- Building reliable automation workflows
Legal and Ethical Considerations
Important: Before deploying an automated calling system:
- Check local laws about automated calls (may be restricted or require consent)
- Don't use for spam or harassment
- Provide opt-out mechanisms
- Respect Do Not Call registries
- Be transparent about automated nature of calls
- Limit call frequency to prevent annoyance
This project is educational. Use responsibly and ethically.
Future Enhancements
- Two-way communication Receive DTMF input during call for interactive menus
- SMS fallback Send text if call isn't answered
- Voice recognition Analyze responses using speech-to-text
- Multiple languages Generate messages in caller's preferred language
- Call logging Store records in database for analytics
- Retry logic Automatically retry if call fails or goes to voicemail
Conclusion
Building an AI phone caller with ESP32 and SIM800L demonstrates how accessible IoT and telephony integration has become. What once required expensive enterprise equipment can now be built with $20 worth of components and some creative programming.
The combination of hardware (ESP32, SIM800L), audio (ISD1820 or DFPlayer), and automation (n8n, AI APIs) creates a powerful system for notifications, alerts, and communication.
Whether you're building an emergency alert system, appointment reminder, or just exploring the possibilities of IoT telephony, this project provides a solid foundation.
Start small, test thoroughly, and always use these capabilities responsibly. The technology is powerfuluse it to help, not to annoy.