Retouch Ninja -

input[type="file"] display: none;

<div class="preview-area"> <div class="image-container" id="imageContainer"> <img id="previewImg" src="https://placehold.co/600x400/1e293b/475569?text=No+Image+Selected" alt="preview"> </div> <div class="tools"> <button class="ninja-btn" id="btnSmooth">✨ Skin Smooth</button> <button class="ninja-btn" id="btnBlemish">🧼 Blemish Remover</button> <button class="ninja-btn" id="btnTeeth">🦷 Teeth Whitening</button> <button class="ninja-btn" id="btnEyes">👁️ Eye Enhance</button> </div> retouch ninja

// --- SIMULATED RETOUCH EFFECTS (visual demo) // Real version would call an ML model (e.g., remove blemishes, smooth skin) switch(effectType) case 'Skin Smooth': // light blur / smoothing effect (simple box blur on skin tones) for (let i = 0; i < data.length; i += 4) const r = data[i]; const g = data[i+1]; const b = data[i+2]; // detect rough skin tones (orange/brown range) & smooth if (r > 80 && r < 220 && g > 50 && g < 180 && b > 40 && b < 150) // reduce contrast / slight brighten data[i] = Math.min(255, r + 12); data[i+1] = Math.min(255, g + 8); data[i+2] = Math.min(255, b + 6); ctx.putImageData(imageData, 0, 0); break; case 'Blemish Remover': // simulate spot removal: soften small dark spots for (let i = 0; i < data.length; i += 4) let r = data[i], g = data[i+1], b = data[i+2]; const brightness = (r+g+b)/3; if (brightness < 100 && r < 120 && g < 100 && b < 90) data[i] = Math.min(255, r + 35); data[i+1] = Math.min(255, g + 30); data[i+2] = Math.min(255, b + 25); ctx.putImageData(imageData, 0, 0); break; case 'Teeth Whitening': // find near-white/yellowish regions and make whiter for (let i = 0; i < data.length; i += 4) let r = data[i], g = data[i+1], b = data[i+2]; if (r > 180 && g > 160 && b > 100 && r < 240 && g < 220) data[i] = Math.min(255, r + 35); data[i+1] = Math.min(255, g + 30); data[i+2] = Math.min(255, b + 20); ctx.putImageData(imageData, 0, 0); break; case 'Eye Enhance': // increase contrast & sharpness around eye area (simulate) for (let i = 0; i < data.length; i += 4) let r = data[i], g = data[i+1], b = data[i+2]; if ((r < 100 && g < 90 && b < 85) ctx.putImageData(imageData, 0, 0); break; default: break; input[type="file"] display: none; <

h1 font-size: 2.5rem; font-weight: 800; background: linear-gradient(135deg, #fff, #a78bfa); -webkit-background-clip: text; background-clip: text; color: transparent; display: inline-flex; align-items: center; gap: 10px; input[type="file"] display: none

// --- Simulate AI retouch (can be replaced with actual API call) async function applyRetouchEffect(effectType) if (!originalImageData) statusDiv.innerHTML = '⚠️ Please upload an image first!'; return;

<div class="ninja-card"> <div style="display: flex; justify-content: space-between; align-items: center; flex-wrap: wrap;"> <div> <h1>⚡ RETOUCH NINJA</h1> <p class="sub">AI-powered precision retouching — stealth mode ✨</p> </div> </div>