Day 27: Trusty AI Companion


Objective: Build a MicroPython project that integrates to ChatGPT and and provides a conversation with anything of your interest.

Storyline:
To make life aboard the Nebula Raider more engaging, the cadets decide to create a fun AI-powered device. In this game, ChatGPT will interact with the user using the IDE Terminal and will output notifications on the LCD1602.

Components Needed:

Raspberry Pi Pico WH Microcontroller
LCD1602
Breadboard
Jumper wires
Wi-Fi module (e.g., ESP8266) for internet connectivity

Instructions:

Set Up the Circuit:

Connect the LCD 1602 display to the Raspberry Pi Pico using the I2C interface (SDA to GP0, SCL to GP1).
Use jumper wires to make all necessary connections on the breadboard, ensuring a secure and organized setup.

Write the Code:

Open your coding environment and write the following Python code to create the 21 Questions game.

Test the System:

Modify the code and add your WiFi SSID and Password. Generate a ChatGPT API key on your account and don’t forget to make sure that you have credits available as well.

Upload the code to the Raspberry Pi Pico and run it.
Start the conversation and talk to your trusty companion.
Ensure the program correctly interacts with ChatGPT and displays responses on the Thonny IDE Terminal.

Learning Outcomes:

AI Integration: Learn how to connect and use ChatGPT with MicroPython for interactive projects.
Sensor Integration: Understand how to integrate LCD1602 I2C with the Raspberry Pi Pico.
Microcontroller Programming: Develop skills in writing code to interact with external APIs and display responses.

Extension Ideas:

Additional Commands: Expand the game to include more interactive commands and responses.
Score Keeping: Implement a scoring system to track how well the AI guesses within the 21 questions.
Voice Input: Integrate a microphone to allow voice input for more natural interaction.
By completing this project, you will have built an interactive 21 Questions game that connects to ChatGPT and displays responses on an OLED screen, enhancing your skills in AI integration and MicroPython programming.

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