Okay, I can help you set up the basic structure for an E.D.I.T.H.-inspired web application. This initial setup will include the HTML layout, basic CSS for a futuristic feel, and JavaScript placeholders for the core functionalities like voice interaction and camera feed. We'll start with the essential files. E.D.I.T.H. Interface

E.D.I.T.H.

STATUS: STANDBY

CAMERA FEED

VOICE INTERACTION

Transcript: Waiting for activation...

E.D.I.T.H.: Awaiting command.

SIMULATIONS

Satellite Simulation Offline

Device Control Simulation Offline

DATA & ANALYSIS

Analysis results will appear here.

body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; background-color: #0a0a1a; color: #00eaff; margin: 0; padding: 0; overflow: hidden; /* Prevent scrollbars initially */ } #edith-interface { display: grid; grid-template-rows: auto 1fr auto; height: 100vh; padding: 15px; box-sizing: border-box; gap: 10px; background: radial-gradient(circle, rgba(10,10,30,0.9) 0%, rgba(5,5,15,0.95) 100%), url('https://via.placeholder.com/1920x1080/05050f/05050f') no-repeat center center fixed; /* Placeholder background */ background-size: cover; border: 1px solid #00eaff; box-shadow: 0 0 15px rgba(0, 234, 255, 0.5); } header, footer { background-color: rgba(0, 30, 50, 0.7); padding: 5px 15px; border: 1px solid #00aaff; border-radius: 5px; text-align: center; } header h1 { margin: 5px 0; font-size: 1.8em; color: #ffffff; text-shadow: 0 0 5px #00eaff; } #status { font-size: 0.9em; color: #ffcc00; /* Yellow for standby */ } main { display: grid; grid-template-columns: 1fr 1fr; grid-template-rows: auto auto; gap: 15px; overflow: auto; /* Allow scrolling if content overflows */ } section { background-color: rgba(0, 20, 40, 0.8); border: 1px solid #0077cc; border-radius: 8px; padding: 15px; box-shadow: inset 0 0 10px rgba(0, 170, 255, 0.3); } section h2 { margin-top: 0; color: #ffffff; border-bottom: 1px solid #00aaff; padding-bottom: 5px; font-size: 1.2em; } #camera-feed-section { grid-column: 1 / 2; grid-row: 1 / 3; /* Span two rows */ position: relative; /* For overlay positioning */ } #camera-feed { width: 100%; max-height: 40vh; /* Limit height */ background-color: #000; border: 1px solid #005588; border-radius: 4px; display: block; /* Remove extra space below video */ } #recognition-overlay { position: absolute; top: 45px; /* Adjust based on h2 height and padding */ left: 15px; /* Adjust based on section padding */ right: 15px; bottom: 80px; /* Adjust based on controls height */ pointer-events: none; /* Allow clicks to pass through */ } .recognition-box { position: absolute; border: 2px solid #00ff00; background-color: rgba(0, 255, 0, 0.1); color: #00ff00; font-size: 12px; padding: 2px; } #camera-controls, #voice-interaction-section, #data-analysis-section { text-align: center; } button { background-color: #005a99; color: #ffffff; border: 1px solid #00eaff; padding: 8px 15px; border-radius: 5px; cursor: pointer; margin: 5px; transition: background-color 0.3s, box-shadow 0.3s; font-size: 0.9em; } button:hover { background-color: #0077cc; box-shadow: 0 0 10px rgba(0, 234, 255, 0.7); } button:disabled { background-color: #333; color: #777; border-color: #555; cursor: not-allowed; box-shadow: none; } #transcript, #response, #analysis-output { margin-top: 10px; font-size: 0.9em; min-height: 1.2em; /* Ensure space even when empty */ background-color: rgba(0, 0, 0, 0.3); padding: 5px; border-radius: 3px; text-align: left; } #transcript em, #response em { color: #aaa; } #map-simulation, #device-simulation { height: 15vh; /* Example height */ background-color: rgba(0, 0, 10, 0.5); border: 1px dashed #0077cc; display: flex; align-items: center; justify-content: center; margin-top: 10px; border-radius: 4px; font-style: italic; color: #aaa; } #data-input { width: calc(100% - 22px); /* Full width minus padding/border */ height: 10vh; background-color: rgba(0, 0, 0, 0.4); border: 1px solid #0077cc; color: #00eaff; padding: 10px; margin-bottom: 10px; border-radius: 4px; font-family: monospace; } footer { font-size: 0.8em; color: #aaa; } // --- Module Imports --- // We'll create these modules later if needed // import { updateUI } from './modules/ui.js'; // import { startVoiceRecognition, speak } from './modules/voice.js'; // import { startCamera, stopCamera, detectObjects } from './modules/camera.js'; // import { runSimulation } from './modules/simulation.js'; // --- DOM Elements --- const statusElement = document.getElementById('status'); const cameraFeed = document.getElementById('camera-feed'); const startCameraBtn = document.getElementById('start-camera-btn'); const stopCameraBtn = document.getElementById('stop-camera-btn'); const activateVoiceBtn = document.getElementById('activate-voice-btn'); const transcriptElement = document.getElementById('transcript'); const responseElement = document.getElementById('response'); const analyzeDataBtn = document.getElementById('analyze-data-btn'); const dataInputElement = document.getElementById('data-input'); const analysisOutputElement = document.getElementById('analysis-output'); const recognitionOverlay = document.getElementById('recognition-overlay'); // --- State --- let isCameraActive = false; let isVoiceActive = false; let mediaStream = null; // --- Core Functions (Placeholders) --- function updateStatus(text, level = 'info') { console.log(`Status Update: ${text}`); statusElement.textContent = `STATUS: ${text}`; switch (level) { case 'warning': statusElement.style.color = '#ffcc00'; // Yellow break; case 'error': statusElement.style.color = '#ff4444'; // Red break; case 'success': statusElement.style.color = '#00ff88'; // Green break; default: // info statusElement.style.color = '#00eaff'; // Default Blue } } function speak(text) { console.log(`E.D.I.T.H. speaking: ${text}`); responseElement.textContent = `E.D.I.T.H.: ${text}`; // Basic Web Speech Synthesis (can be expanded) if ('speechSynthesis' in window) { const utterance = new SpeechSynthesisUtterance(text); // Optional: Configure voice (might need specific browser support) // const voices = window.speechSynthesis.getVoices(); // utterance.voice = voices.find(v => v.name === 'Google UK English Female') || voices[0]; // Example voice selection utterance.pitch = 0.9; utterance.rate = 1.1; window.speechSynthesis.speak(utterance); } else { console.warn("Speech Synthesis not supported in this browser."); } updateStatus("Responding..."); setTimeout(() => updateStatus(isCameraActive ? "Camera Active" : "Standby"), 2000); // Reset status after speaking } async function startCamera() { if (isCameraActive) return; updateStatus("Initializing camera..."); try { mediaStream = await navigator.mediaDevices.getUserMedia({ video: true, audio: false }); cameraFeed.srcObject = mediaStream; cameraFeed.onloadedmetadata = () => { cameraFeed.play(); isCameraActive = true; startCameraBtn.disabled = true; stopCameraBtn.disabled = false; updateStatus("Camera Active", "success"); speak("Camera feed activated."); // Start object detection loop (placeholder) // requestAnimationFrame(detectionLoop); }; } catch (err) { console.error("Error accessing camera:", err); updateStatus("Camera Access Denied", "error"); speak("Error: Unable to access camera."); startCameraBtn.disabled = false; stopCameraBtn.disabled = true; } } function stopCamera() { if (!isCameraActive || !mediaStream) return; updateStatus("Deactivating camera..."); mediaStream.getTracks().forEach(track => track.stop()); cameraFeed.srcObject = null; isCameraActive = false; startCameraBtn.disabled = false; stopCameraBtn.disabled = true; recognitionOverlay.innerHTML = ''; // Clear any boxes updateStatus("Standby"); speak("Camera feed deactivated."); } function startVoiceRecognition() { if (!('webkitSpeechRecognition' in window) && !('SpeechRecognition' in window)) { speak("Sorry, voice recognition is not supported in this browser."); updateStatus("Voice Recognition Unavailable", "error"); return; } const SpeechRecognition = window.SpeechRecognition || window.webkitSpeechRecognition; const recognition = new SpeechRecognition(); recognition.lang = 'en-US'; // Set language recognition.interimResults = false; // We want final results recognition.maxAlternatives = 1; recognition.onstart = () => { isVoiceActive = true; activateVoiceBtn.textContent = 'Listening...'; activateVoiceBtn.disabled = true; updateStatus("Listening for command..."); transcriptElement.innerHTML = "Transcript: Listening..."; responseElement.innerHTML = "E.D.I.T.H.: ..."; }; recognition.onresult = (event) => { const transcript = event.results[0][0].transcript; transcriptElement.textContent = `Transcript: ${transcript}`; processCommand(transcript.toLowerCase()); // Process the command }; recognition.onerror = (event) => { console.error("Speech recognition error:", event.error); let errorMsg = "An error occurred during voice recognition."; if (event.error === 'no-speech') { errorMsg = "No speech detected. Please try again."; } else if (event.error === 'audio-capture') { errorMsg = "Audio capture failed. Ensure microphone is enabled."; } else if (event.error === 'not-allowed') { errorMsg = "Microphone access denied."; } speak(errorMsg); updateStatus("Voice Recognition Error", "error"); }; recognition.onend = () => { isVoiceActive = false; activateVoiceBtn.textContent = 'Activate Voice Command'; activateVoiceBtn.disabled = false; if (statusElement.textContent.includes("Listening")) { updateStatus(isCameraActive ? "Camera Active" : "Standby"); // Reset status if still listening } }; recognition.start(); speak("Listening."); // Initial feedback } function processCommand(command) { console.log(`Processing command: ${command}`); updateStatus(`Processing: ${command}`); // Simple command matching (expand significantly) if (command.includes("activate camera") || command.includes("start camera")) { startCamera(); } else if (command.includes("deactivate camera") || command.includes("stop camera")) { stopCamera(); } else if (command.includes("status report")) { speak(`Current status is ${statusElement.textContent.replace('STATUS: ','')}. ${isCameraActive ? 'Camera feed is active.' : 'Camera is offline.'}`); } else if (command.includes("hello edith") || command.includes("hi edith")) { speak("Hello. How may I assist you?"); } else if (command.includes("analyze data")) { analyzeData(); } else if (command.includes("show map") || command.includes("satellite view")) { speak("Simulating satellite view. Standby."); // Add map simulation logic here later document.getElementById('map-simulation').innerHTML = '

Simulating Satellite Feed...

'; } else { speak(`Command not recognized: ${command}`); updateStatus("Command Unrecognized", "warning"); } } function analyzeData() { const data = dataInputElement.value.trim(); if (!data) { speak("No data provided for analysis."); analysisOutputElement.textContent = "Error: No data input."; return; } updateStatus("Analyzing data..."); speak("Analyzing provided data."); // --- Basic Placeholder Analysis --- const wordCount = data.split(/\s+/).filter(Boolean).length; const charCount = data.length; let analysisResult = `Data Analysis:\n- Word Count: ${wordCount}\n- Character Count: ${charCount}\n`; // Simple "threat" detection placeholder if (data.toLowerCase().includes("danger") || data.toLowerCase().includes("threat") || data.toLowerCase().includes("attack")) { analysisResult += "- Potential Threat Keywords Detected."; updateStatus("Potential Threat Detected", "warning"); } else { updateStatus("Data Analysis Complete"); } analysisOutputElement.textContent = analysisResult; // --- End Placeholder --- } // --- Object Detection Placeholder --- // function detectionLoop() { // if (!isCameraActive) return; // // Call your detection function (e.g., using TensorFlow.js) // // detectObjects(cameraFeed).then(predictions => { // // drawRecognitionBoxes(predictions); // // }); // requestAnimationFrame(detectionLoop); // Loop // } // function drawRecognitionBoxes(predictions) { // recognitionOverlay.innerHTML = ''; // Clear previous boxes // predictions.forEach(prediction => { // const [x, y, width, height] = prediction.bbox; // const label = `${prediction.class} (${Math.round(prediction.score * 100)}%)`; // const box = document.createElement('div'); // box.classList.add('recognition-box'); // box.style.left = `${x}px`; // box.style.top = `${y}px`; // box.style.width = `${width}px`; // box.style.height = `${height}px`; // box.textContent = label; // recognitionOverlay.appendChild(box); // }); // } // --- Event Listeners --- startCameraBtn.addEventListener('click', startCamera); stopCameraBtn.addEventListener('click', stopCamera); activateVoiceBtn.addEventListener('click', startVoiceRecognition); analyzeDataBtn.addEventListener('click', analyzeData); // --- Initial Setup --- updateStatus("System Initialized. Standby."); speak("E.D.I.T.H. system online. Awaiting commands."); This sets up the visual layout and basic JavaScript functions for camera activation/deactivation, placeholder voice commands, and data analysis. Next steps would involve: 1. Implementing actual voice recognition using the Web Speech API. 2. Integrating a library like TensorFlow.js for object/face recognition on the camera feed. 3. Adding map simulation visuals (e.g., using Leaflet). 4. Expanding the `processCommand` function significantly.