IRONMAN HELMET CODE 

1. Hardware Components:

• Raspberry Pi (for AI processing)

• Arduino Uno/Nano (for sensor control)

• Microphone & Speaker (for voice commands and responses)

• OLED Display/Small LCD (for UI inside the helmet)

• LEDs (for helmet lighting effects)

• Servo Motors (for automatic helmet opening)

• HC-05 Bluetooth Module (for wireless control)

• Camera Module (for face recognition or object tracking)

2. Software & Code

A) Voice Assistant (Python)

You can use Python with SpeechRecognition and OpenAI API for responses.

import speech_recognition as sr

import pyttsx3

import openai

# Initialize Text-to-Speech

engine = pyttsx3.init()

recognizer = sr.Recognizer()

# OpenAI API Key

openai.api_key = "your-api-key"

def speak(text):

    engine.say(text)

    engine.runAndWait()

def listen():

    with sr.Microphone() as source:

        print("Listening...")

        recognizer.adjust_for_ambient_noise(source)

        audio = recognizer.listen(source)

        try:

            return recognizer.recognize_google(audio)

        except sr.UnknownValueError:

            return "I didn't understand"

while True:

    command = listen().lower()

    if "jarvis" in command:

        response = openai.ChatCompletion.create(

            model="gpt-3.5-turbo",

            messages=[{"role": "system", "content": "You are JARVIS, an AI assistant."},

                      {"role": "user", "content": command}]

        )

        reply = response["choices"][0]["message"]["content"]

        print("JARVIS:", reply)

        speak(reply)

B) Arduino Code (Helmet Control)

This controls the servos and LEDs for the helmet’s movement.

#include <Servo.h>

Servo helmetServo;

int ledPin = 13;

int bluetoothPin = 7;

void setup() {

    helmetServo.attach(9);

    pinMode(ledPin, OUTPUT);

    pinMode(bluetoothPin, INPUT);

}

void loop() {

    if (digitalRead(bluetoothPin) == HIGH) {

        digitalWrite(ledPin, HIGH);

        helmetServo.write(90);  // Open Helmet

        delay(2000);

        helmetServo.write(0);   // Close Helmet

    } else {

        digitalWrite(ledPin, LOW);

    }

}

If you're looking for a JARVIS-like AI system for an Iron Man helmet using Arduino, Raspberry Pi, or a full-stack setup, you’ll need a combination of hardware and software. Here’s a breakdown of how you can approach it:

1. Hardware Components:

• Raspberry Pi (for AI processing)

• Arduino Uno/Nano (for sensor control)

• Microphone & Speaker (for voice commands and responses)

• OLED Display/Small LCD (for UI inside the helmet)

• LEDs (for helmet lighting effects)

• Servo Motors (for automatic helmet opening)

• HC-05 Bluetooth Module (for wireless control)

• Camera Module (for face recognition or object tracking)

2. Software & Code

A) Voice Assistant (Python)

You can use Python with SpeechRecognition and OpenAI API for responses.

import speech_recognition as sr

import pyttsx3

import openai

# Initialize Text-to-Speech

engine = pyttsx3.init()

recognizer = sr.Recognizer()

# OpenAI API Key

openai.api_key = "your-api-key"

def speak(text):

    engine.say(text)

    engine.runAndWait()

def listen():

    with sr.Microphone() as source:

        print("Listening...")

        recognizer.adjust_for_ambient_noise(source)

        audio = recognizer.listen(source)

        try:

            return recognizer.recognize_google(audio)

        except sr.UnknownValueError:

            return "I didn't understand"

while True:

    command = listen().lower()

    if "jarvis" in command:

        response = openai.ChatCompletion.create(

            model="gpt-3.5-turbo",

            messages=[{"role": "system", "content": "You are JARVIS, an AI assistant."},

                      {"role": "user", "content": command}]

        )

        reply = response["choices"][0]["message"]["content"]

        print("JARVIS:", reply)

        speak(reply)

B) Arduino Code (Helmet Control)

This controls the servos and LEDs for the helmet’s movement.

#include <Servo.h>

Servo helmetServo;

int ledPin = 13;

int bluetoothPin = 7;

void setup() {

    helmetServo.attach(9);

    pinMode(ledPin, OUTPUT);

    pinMode(bluetoothPin, INPUT);

}

void loop() {

    if (digitalRead(bluetoothPin) == HIGH) {

        digitalWrite(ledPin, HIGH);

        helmetServo.write(90);  // Open Helmet

        delay(2000);

        helmetServo.write(0);   // Close Helmet

    } else {

        digitalWrite(ledPin, LOW);

    }

}

3. Features You Can Add:

✅ Face Recognition using OpenCV
✅ AI Response via GPT-based API
✅ Gesture Control using MPU6050
✅ Wireless Control via an Android app