ESP32 AI Connect

Abstract

1. Introduction

This project is proudly brought to you by the team at AvantMaker.com.

Visit us at AvantMaker.com where we've crafted a comprehensive collection of Reference and Tutorial materials for the ESP32, a mighty microcontroller that powers countless IoT creations.

2. Objective

ESP32_AI_Connect is an Arduino library that enables seamless integration between ESP32 and leading AI APIs (OpenAI, Gemini, Anthropic Claude, etc.). Designed for IoT projects, it provides a unified interface for AI-powered applications while optimizing for ESP32's memory constraints. Easily add AI to your ESP32 projects with just a few lines.

This project demonstrates how C++, ESP32 can be applied to a real-world Internet of Things (IoT) problem.

3. Key Features / Modules

• Multi-platform support: Single interface for different AI providers
• Tool calls support: Enables tool call capabilities with AI models
• Streaming support: Supports streaming communication with AI model, featuring thread safety, user interruption, etc.
• Auto-retry and resilience: Optional automatic retry with exponential backoff for transient failures (NEW!)
• Expandable framework: Built to easily accommodate additional model support
• Configurable features: Enable/disable tool calls feature to optimize microcontroller resources
• OpenAI-compatible support: Use alternative platforms by supplying custom endpoints and model names
• Memory efficient: Shared JSON buffers and configurable sizes
• Modular design: Easy to add new AI platforms
• Error handling: Detailed error messages for troubleshooting

4. Technology Stack

• Open the Arduino IDE.
• Navigate to the Library Manager by clicking Tools > Manage Libraries...
• In the search bar, type "ESP32_AI_Connect".
• Select the ESP32_AI_Connect library and click the "Install" button.
• A dialog will appear, informing you that the library requires an additional dependency: "ArduinoJson". A screen capture of this prompt is shown below.
• Click "INSTALL ALL" to automatically install both ESP32_AI_Connect and its dependency, ArduinoJson.

5. System Requirements

General requirements for this technology stack — check the README for exact versions.

• Arduino IDE / PlatformIO or a C++ compiler (g++)
• Target board (e.g. Arduino, ESP32) where applicable
• Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/AvantMaker/ESP32_AI_Connect.git
cd ESP32_AI_Connect

1. Click the "Code" button on this repository page and select "Download ZIP".
2. In the Arduino IDE, go to Sketch > Include Library > Add .ZIP Library... and select the downloaded ZIP file.
3. You must also manually install the required dependency, ArduinoJson. To do this, search for and install "ArduinoJson" from the Arduino IDE's Library Manager.

Full setup instructions are in the project README.

7. Future Enhancements

Suggested extensions you can add to make this your own project.

• Add a mobile dashboard using Blynk or Firebase
• Store readings in a cloud database for history charts
• Add alerts via SMS / Telegram when thresholds are crossed

8. Viva / Review Questions

Common questions examiners ask for projects in this domain.

1. Which microcontroller / board and sensors are used and why?
2. How does the device send data (Wi-Fi, MQTT, HTTP, Bluetooth)?
3. Where is the sensor data stored and visualised?
4. How is power consumption managed?
5. How would you secure the device and its communication?

9. Source Code & License

This project is developed by AvantMaker and published on GitHub under the MIT License. Please follow the license terms and credit the original author when you use or modify this code.