> ## Documentation Index
> Fetch the complete documentation index at: https://stem-docs.intellectualpoint.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Introduction to GenAI & LLMs

> Think, Talk, Drive - build an AI-powered robot that sees, hears, speaks, and moves using large language models and vision AI.

## Think, Talk, Drive

Welcome to the GenAI and LLMs STEM Workshop. Over five days, you will go from unboxing your robot to having a full conversation with an AI that can see, hear, speak, and physically move.

<Frame caption="The PiCar-X: your AI-powered robot for the week">
  <img src="https://mintcdn.com/intellectualpoint/xLJwHPVqdzG8quCt/images/robot.png?fit=max&auto=format&n=xLJwHPVqdzG8quCt&q=85&s=3eb16b1613741f8a92ea2a909788936a" alt="The PiCar-X robot with camera, ultrasonic sensor, and line-tracking module" width="1024" height="766" data-path="images/robot.png" />
</Frame>

<Info>
  This is a fully virtual camp. Your robot kit has been shipped to you pre-assembled with an SD card, card reader, and WiFi dongle included.
</Info>

### What you will build

By the end of this week, your robot will be able to:

* **Move** on command using keyboard controls and programmed sequences
* **Speak** using text-to-speech, announcing its actions aloud
* **Follow lines** autonomously using onboard sensors
* **Detect colors and faces** with classical computer vision
* **Hold a conversation** by connecting to a large language model
* **See and describe its surroundings** using a vision language model
* **Act on what it sees** by combining vision AI with physical tool calls

### Your week at a glance

<Steps>
  <Step title="Day 1: Setup and Calibration">
    Flash your SD card, connect to your robot over SSH, calibrate servos, and validate all sensors.
  </Step>

  <Step title="Day 2: Code & Computer Vision">
    Write movement programs, give the robot a voice with text-to-speech, follow lines, and detect colors.
  </Step>

  <Step title="Day 3: GenAI and Cloud LLMs">
    Learn how large language models work, connect to the OpenAI API, build a voice chatbot, and control the robot with LLM tool calls.
  </Step>

  <Step title="Day 4: Vision AI">
    Feed the robot's camera into a vision language model so it can describe what it sees and act on visual information.
  </Step>

  <Step title="Day 5: AI Ethics & Final Project">
    Discuss AI risks and ethics, explore data privacy, build a robot reporter that tours and narrates its surroundings, and discover resources for continued learning.
  </Step>
</Steps>

### Hardware overview

Your robot kit includes:

| Component                      | Purpose                                            |
| ------------------------------ | -------------------------------------------------- |
| Raspberry Pi                   | The brain of the robot, runs all code              |
| Robot HAT                      | Motor and sensor controller board                  |
| 2-axis camera module           | Pan and tilt camera for vision                     |
| Ultrasonic sensor              | Measures distance to obstacles                     |
| Grayscale/line-tracking sensor | Detects light and dark surfaces for line following |
| Speaker                        | Audio output for text-to-speech                    |
| Microphone                     | Voice input for speech-to-text                     |
| Wheels and servos              | Steering and movement                              |

### Before you start

<Check>
  Confirm your kit contains: robot (pre-assembled), SD card, SD card reader, and WiFi dongle.
</Check>

<Warning>
  The evening before Day 1, plug in your robot and confirm the power LED lights up. This saves time on the first morning.
</Warning>