AI-Based Sign Language to Speech Conversion System

Below is a complete step-by-step documentation for your project: 🤖 AI-Based Sign Language to Speech Conversion System 🌐 ESP32 + IoT + AI Agent + n8n Automation + Telegram + Google Sheets + ThingSpeak

Below is your complete project documentation converted into a PHP file format. You can directly save it as: sign_language_iot_project.php ESP32 Sensor Reading -> WiFi/MQTT Transmission -> n8n Webhook Trigger -> AI Gesture Classification -> Output: - Telegram Voice Alert - Google Sheets Logging - ThingSpeak Dashboard - Speech Output ----------------------------------------------------------- COMPONENTS LIST ----------------------------------------------------------- Hardware: - ESP32 Development Board - Flex Sensors (5 fingers) OR MPU6050 - Jumper Wires - Breadboard - 5V Power Supply - Optional OLED Display Software: - Arduino IDE - n8n Automation Tool - Telegram Bot API - Google Sheets API - ThingSpeak IoT Platform - AI Python Backend (optional) ----------------------------------------------------------- ESP32 SOURCE CODE (REFERENCE) ----------------------------------------------------------- */ ?>

#include <WiFi.h>
#include <HTTPClient.h>

const char* ssid = "YOUR_WIFI";
const char* password = "YOUR_PASSWORD";

String serverUrl = "http://YOUR_N8N_WEBHOOK_URL";

int flexPins[5] = {34, 35, 32, 33, 36};

void setup() {
  Serial.begin(115200);

  WiFi.begin(ssid, password);
  while (WiFi.status() != WL_CONNECTED) {
    delay(1000);
    Serial.println("Connecting...");
  }
  Serial.println("Connected to WiFi");
}

void loop() {
  int sensorData[5];

  for (int i = 0; i < 5; i++) {
    sensorData[i] = analogRead(flexPins[i]);
  }

  String jsonData = "{";
  jsonData += "\"f1\":" + String(sensorData[0]) + ",";
  jsonData += "\"f2\":" + String(sensorData[1]) + ",";
  jsonData += "\"f3\":" + String(sensorData[2]) + ",";
  jsonData += "\"f4\":" + String(sensorData[3]) + ",";
  jsonData += "\"f5\":" + String(sensorData[4]);
  jsonData += "}";

  if (WiFi.status() == WL_CONNECTED) {
    HTTPClient http;
    http.begin(serverUrl);
    http.addHeader("Content-Type", "application/json");

    int response = http.POST(jsonData);
    Serial.println(response);

    http.end();
  }

  delay(3000);
}

AI Function Node -> Telegram Node -> Google Sheets Example AI Logic: if (f1 > 2000 && f2 < 1500) => HELLO if (f3 > 2000) => HELP ----------------------------------------------------------- TELEGRAM BOT SETUP ----------------------------------------------------------- Steps: 1. Open Telegram 2. Search BotFather 3. Create bot using /newbot 4. Get API Token 5. Connect token in n8n Telegram Node ----------------------------------------------------------- GOOGLE SHEETS STRUCTURE ----------------------------------------------------------- Columns: Timestamp | Gesture | F1 | F2 | F3 | F4 | F5 ----------------------------------------------------------- THINGSPEAK SETUP ----------------------------------------------------------- Channel Fields: Field1 = Gesture Field2 = Sensor Average API Example: https://api.thingspeak.com/update?api_key=YOUR_KEY&field1=HELLO ----------------------------------------------------------- AI POWER PREDICTION LOGIC ----------------------------------------------------------- Formula: Power = Base + (Sensor Load × Transmission Factor) Example: function predictPower($gesturesPerMin) { $base = 0.5; $tx = 0.2 * $gesturesPerMin; return $base + $tx; } ----------------------------------------------------------- VOICE NOTIFICATION FLOW ----------------------------------------------------------- Gesture -> Text -> TTS Engine -> Audio -> Telegram Voice Message ----------------------------------------------------------- FUTURE ENHANCEMENTS ----------------------------------------------------------- - CNN-based sign recognition - Camera-based gesture detection - MQTT instead of HTTP - Edge AI on ESP32-S3 - Mobile app dashboard ----------------------------------------------------------- END OF PROJECT FILE ----------------------------------------------------------- */ ?> If you want, I can also convert this into: 🌐 Fully working PHP website dashboard (live IoT panel) 📊 Real-time web dashboard with charts (ThingSpeak + JS) 📱 Mobile-friendly UI version ⚡ Complete GitHub project structure Just tell me 👍