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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Waste Classification AI</title>
<link href="https://cdn.jsdelivr.net/npm/tailwindcss@2.2.19/dist/tailwind.min.css" rel="stylesheet">
<link href="https://fonts.googleapis.com/css2?family=Inter:wght@400;500;600;700&display=swap" rel="stylesheet">
<script src="https://cdn.jsdelivr.net/npm/tsparticles@3.3.0/tsparticles.bundle.min.js"></script>
<style>
body {
font-family: 'Inter', sans-serif;
background: linear-gradient(135deg, #f6f8fc 0%, #e9f0f7 100%);
}
.drop-zone {
border: 2px dashed #cbd5e0;
transition: all 0.3s cubic-bezier(0.4, 0, 0.2, 1);
background: rgba(255, 255, 255, 0.8);
backdrop-filter: blur(8px);
}
.drop-zone:hover {
border-color: #4299e1;
background: rgba(255, 255, 255, 0.95);
transform: translateY(-2px);
box-shadow: 0 4px 6px -1px rgba(0, 0, 0, 0.1), 0 2px 4px -1px rgba(0, 0, 0, 0.06);
}
.loading {
display: none;
}
.loading.active {
display: flex;
}
.result-card {
transition: all 0.3s ease;
transform: translateY(0);
}
.result-card.show {
transform: translateY(0);
opacity: 1;
}
.upload-icon {
transition: all 0.3s ease;
}
.drop-zone:hover .upload-icon {
transform: scale(1.1);
color: #4299e1;
}
.prediction-badge {
transition: all 0.3s ease;
}
.prediction-badge:hover {
transform: scale(1.05);
}
@keyframes float {
0% { transform: translateY(0px); }
50% { transform: translateY(-10px); }
100% { transform: translateY(0px); }
}
.floating {
animation: float 3s ease-in-out infinite;
}
.image-preview {
max-width: 100%;
max-height: 300px;
object-fit: contain;
border-radius: 0.5rem;
display: none;
}
.image-preview.show {
display: block;
}
.preview-container {
display: none;
margin-bottom: 1rem;
}
.preview-container.show {
display: block;
}
</style>
</head>
<body class="min-h-screen relative">
<!-- Particle Animation Background -->
<div id="tsparticles" style="position:fixed; inset:0; z-index:0;"></div>
<div class="container mx-auto px-4 py-12 2xl:max-w-screen-2xl">
<div class="mx-auto max-w-5xl">
<!-- Header Section -->
<div class="flex flex-col items-center justify-center mb-12 pt-8 pb-6">
<h1 class="text-5xl md:text-6xl font-extrabold tracking-tight text-gray-900 text-center leading-tight">
Waste Classification AI
</h1>
<div class="w-24 h-1 mt-4 mb-2 rounded-full bg-gradient-to-r from-blue-400 via-green-400 to-blue-400"></div>
<p class="text-xl text-gray-600 text-center mt-2">Upload an image to classify waste as dry or wet</p>
</div>
<!-- Main Card -->
<div class="bg-white rounded-3xl shadow-2xl p-12 backdrop-blur-lg bg-opacity-90">
<!-- Image Preview -->
<div id="preview-container" class="preview-container">
<div class="relative">
<img id="image-preview" class="image-preview mx-auto" src="" alt="Preview">
<button id="remove-image" class="absolute top-2 right-2 bg-red-500 text-white rounded-full p-2 hover:bg-red-600 transition-colors">
<svg class="w-4 h-4" fill="none" stroke="currentColor" viewBox="0 0 24 24">
<path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M6 18L18 6M6 6l12 12" />
</svg>
</button>
</div>
</div>
<!-- Upload Zone -->
<div id="drop-zone" class="drop-zone rounded-xl p-12 text-center cursor-pointer mb-8">
<div class="space-y-6">
<div class="upload-icon floating">
<svg class="mx-auto h-16 w-16 text-gray-400" stroke="currentColor" fill="none" viewBox="0 0 48 48">
<path d="M28 8H12a4 4 0 00-4 4v20m32-12v8m0 0v8a4 4 0 01-4 4H12a4 4 0 01-4-4v-4m32-4l-3.172-3.172a4 4 0 00-5.656 0L28 28M8 32l9.172-9.172a4 4 0 015.656 0L28 28m0 0l4 4m4-24h8m-4-4v8m-12 4h.02" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" />
</svg>
</div>
<div class="text-gray-600">
<p class="text-xl font-medium mb-2">Drag and drop your image here</p>
<p class="text-sm text-gray-500 mb-4">or</p>
<button class="px-6 py-3 bg-blue-500 text-white rounded-lg hover:bg-blue-600 transition-all transform hover:scale-105 focus:outline-none focus:ring-2 focus:ring-blue-500 focus:ring-opacity-50 mr-2" onclick="fileInput.click()">
Browse Files
</button>
<button id="camera-btn" class="px-6 py-3 bg-green-500 text-white rounded-lg hover:bg-green-600 transition-all transform hover:scale-105 focus:outline-none focus:ring-2 focus:ring-green-500 focus:ring-opacity-50">
Use Camera
</button>
</div>
</div>
<input type="file" id="file-input" class="hidden" accept="image/*">
</div>
<!-- Webcam Modal -->
<div id="camera-modal" class="fixed inset-0 z-50 flex items-center justify-center bg-black bg-opacity-60 hidden">
<div class="bg-white rounded-2xl shadow-2xl p-8 flex flex-col items-center relative w-full max-w-md mx-auto">
<button id="close-camera" class="absolute top-4 right-4 text-gray-400 hover:text-red-500 text-2xl">&times;</button>
<video id="webcam" autoplay playsinline class="rounded-lg border border-gray-200 mb-4 w-full max-w-xs"></video>
<canvas id="webcam-canvas" class="hidden"></canvas>
<button id="capture-btn" class="px-6 py-3 bg-blue-500 text-white rounded-lg hover:bg-blue-600 transition-all mt-2">Capture</button>
</div>
</div>
<!-- Loading Animation -->
<div id="loading" class="loading items-center justify-center space-x-3 py-8">
<div class="w-4 h-4 bg-blue-500 rounded-full animate-bounce"></div>
<div class="w-4 h-4 bg-blue-500 rounded-full animate-bounce" style="animation-delay: 0.2s"></div>
<div class="w-4 h-4 bg-blue-500 rounded-full animate-bounce" style="animation-delay: 0.4s"></div>
</div>
<!-- Result Section -->
<div id="result" class="result-card opacity-0 transform translate-y-4 hidden">
<div class="p-6 rounded-xl bg-gradient-to-r from-blue-50 to-green-50">
<h2 class="text-2xl font-semibold mb-4 text-gray-800">Classification Result</h2>
<div class="prediction-badge inline-block px-6 py-3 rounded-full text-lg font-medium" id="prediction-text"></div>
</div>
</div>
<!-- Error Section -->
<div id="error" class="hidden">
<div class="p-6 rounded-xl bg-red-50 border border-red-100">
<div class="flex items-center">
<svg class="h-6 w-6 text-red-500 mr-3" fill="none" stroke="currentColor" viewBox="0 0 24 24">
<path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M12 8v4m0 4h.01M21 12a9 9 0 11-18 0 9 9 0 0118 0z" />
</svg>
<p id="error-text" class="text-red-700"></p>
</div>
</div>
</div>
</div>
<!-- History Section -->
<div class="mt-16">
<div class="flex justify-between items-center mb-6">
<h2 class="text-2xl font-bold text-gray-800">Recent Predictions</h2>
<div class="flex gap-2">
<button class="filter-btn px-4 py-2 rounded-full text-sm font-medium bg-gray-100 text-gray-700 hover:bg-blue-100 hover:text-blue-700 transition-colors active flex items-center gap-2" data-filter="all">
<svg class="w-4 h-4" fill="none" stroke="currentColor" stroke-width="2" viewBox="0 0 24 24"><circle cx="12" cy="12" r="10" stroke="currentColor"/><path d="M8 12h8" stroke="currentColor" stroke-linecap="round"/></svg>
All
</button>
<button class="filter-btn px-4 py-2 rounded-full text-sm font-medium bg-green-100 text-green-800 hover:bg-green-200 transition-colors flex items-center gap-2" data-filter="Dry Waste">
<svg class="w-4 h-4" fill="none" stroke="currentColor" stroke-width="2" viewBox="0 0 24 24"><rect x="4" y="4" width="16" height="16" rx="4" stroke="#22c55e"/><path d="M8 12h8" stroke="#22c55e" stroke-linecap="round"/></svg>
Dry Waste
</button>
<button class="filter-btn px-4 py-2 rounded-full text-sm font-medium bg-blue-100 text-blue-800 hover:bg-blue-200 transition-colors flex items-center gap-2" data-filter="Wet Waste">
<svg class="w-4 h-4" fill="none" stroke="currentColor" stroke-width="2" viewBox="0 0 24 24"><ellipse cx="12" cy="12" rx="8" ry="10" stroke="#2563eb"/><path d="M8 12h8" stroke="#2563eb" stroke-linecap="round"/></svg>
Wet Waste
</button>
</div>
<button id="clear-history" class="px-4 py-2 text-sm text-red-600 hover:text-red-700 transition-colors">
Clear History
</button>
</div>
<div id="history-container" class="grid grid-cols-1 md:grid-cols-2 xl:grid-cols-3 2xl:grid-cols-4 gap-8">
{% for item in history %}
<div class="history-card bg-white border border-gray-100 rounded-2xl shadow-lg overflow-hidden transform transition-all duration-300 hover:scale-105 hover:shadow-2xl group opacity-100 scale-100" data-prediction="{{ item.prediction }}">
<div class="p-0 flex flex-col items-center">
<div class="w-full h-56 bg-gray-50 flex items-center justify-center overflow-hidden rounded-t-2xl relative">
<img src="data:image/jpeg;base64,{{ item.image }}"
alt="Prediction"
class="object-cover w-full h-full transition-transform duration-300 group-hover:scale-110"
onerror="this.src='data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjAwIiBoZWlnaHQ9IjIwMCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48cmVjdCB3aWR0aD0iMjAwIiBoZWlnaHQ9IjIwMCIgZmlsbD0iI2YzZjRmNiIvPjx0ZXh0IHg9IjUwJSIgeT0iNTAlIiBmb250LWZhbWlseT0iQXJpYWwiIGZvbnQtc2l6ZT0iMTYiIGZpbGw9IiM5Y2EzYWYiIHRleHQtYW5jaG9yPSJtaWRkbGUiIGR5PSIuM2VtIj5JbWFnZSBsb2FkIGVycm9yPC90ZXh0Pjwvc3ZnPg=='">
</div>
<div class="flex flex-col items-center w-full p-4">
<span class="prediction-badge px-5 py-2 mb-2 rounded-full text-base font-semibold shadow-sm transition-all duration-300
{% if item.prediction == 'Dry Waste' %}
bg-green-100 text-green-800 border border-green-200
{% else %}
bg-blue-100 text-blue-800 border border-blue-200
{% endif %}">
{{ item.prediction }}
</span>
<span class="history-date block text-xs text-gray-400 mt-1" data-date="{{ item.timestamp }}">{{ item.timestamp }}</span>
</div>
</div>
</div>
{% endfor %}
</div>
{% if not history %}
<div class="text-center py-8 text-gray-500">
<p>No predictions yet. Upload an image to get started!</p>
</div>
{% endif %}
<!-- Info Section: Now directly below history -->
<div class="mt-10 text-center text-gray-500">
<p class="text-sm">Supported formats: <span class="font-medium text-gray-700">PNG, JPG, JPEG</span></p>
<p class="text-sm mt-1">Maximum file size: <span class="font-medium text-gray-700">16MB</span></p>
</div>
</div>
</div>
</div>
<script>
const dropZone = document.getElementById('drop-zone');
const fileInput = document.getElementById('file-input');
const loading = document.getElementById('loading');
const result = document.getElementById('result');
const predictionText = document.getElementById('prediction-text');
const error = document.getElementById('error');
const errorText = document.getElementById('error-text');
const imagePreview = document.getElementById('image-preview');
const previewContainer = document.getElementById('preview-container');
const removeImage = document.getElementById('remove-image');
// Handle drag and drop
['dragenter', 'dragover', 'dragleave', 'drop'].forEach(eventName => {
dropZone.addEventListener(eventName, preventDefaults, false);
});
function preventDefaults(e) {
e.preventDefault();
e.stopPropagation();
}
['dragenter', 'dragover'].forEach(eventName => {
dropZone.addEventListener(eventName, highlight, false);
});
['dragleave', 'drop'].forEach(eventName => {
dropZone.addEventListener(eventName, unhighlight, false);
});
function highlight(e) {
dropZone.classList.add('border-blue-500', 'bg-blue-50');
}
function unhighlight(e) {
dropZone.classList.remove('border-blue-500', 'bg-blue-50');
}
dropZone.addEventListener('drop', handleDrop, false);
dropZone.addEventListener('click', () => fileInput.click());
fileInput.addEventListener('change', handleFileSelect);
removeImage.addEventListener('click', resetUpload);
function handleDrop(e) {
const dt = e.dataTransfer;
const files = dt.files;
handleFiles(files);
}
function handleFileSelect(e) {
const files = e.target.files;
handleFiles(files);
}
function handleFiles(files) {
if (files.length > 0) {
const file = files[0];
if (file.type.startsWith('image/')) {
showImagePreview(file);
uploadFile(file);
} else {
showError('Please upload an image file (PNG, JPG, or JPEG)');
}
}
}
function showImagePreview(file) {
const reader = new FileReader();
reader.onload = function(e) {
imagePreview.src = e.target.result;
imagePreview.classList.add('show');
previewContainer.classList.add('show');
dropZone.style.display = 'none';
}
reader.readAsDataURL(file);
}
function resetUpload() {
imagePreview.src = '';
imagePreview.classList.remove('show');
previewContainer.classList.remove('show');
dropZone.style.display = 'block';
result.classList.add('hidden');
error.classList.add('hidden');
fileInput.value = '';
}
function uploadFile(file) {
const formData = new FormData();
formData.append('file', file);
loading.classList.add('active');
result.classList.add('hidden');
error.classList.add('hidden');
fetch('/predict', {
method: 'POST',
body: formData
})
.then(response => response.json())
.then(data => {
loading.classList.remove('active');
if (data.error) {
showError(data.error);
} else {
showResult(data.prediction);
setTimeout(() => { window.location.reload(); }, 1000);
}
})
.catch(err => {
loading.classList.remove('active');
showError('An error occurred while processing your request');
});
}
function showResult(prediction) {
result.classList.remove('hidden');
predictionText.textContent = prediction;
// Add appropriate styling based on prediction
if (prediction === 'Dry Waste') {
predictionText.className = 'prediction-badge inline-block px-6 py-3 rounded-full text-lg font-medium bg-green-100 text-green-800';
} else {
predictionText.className = 'prediction-badge inline-block px-6 py-3 rounded-full text-lg font-medium bg-blue-100 text-blue-800';
}
// Trigger animation
setTimeout(() => {
result.classList.add('show');
}, 50);
}
function showError(message) {
error.classList.remove('hidden');
errorText.textContent = message;
}
// Format history dates for a modern look
[...document.querySelectorAll('.history-date')].forEach(function(el) {
const raw = el.getAttribute('data-date');
if (raw) {
const d = new Date(raw.replace(' ', 'T'));
if (!isNaN(d)) {
el.textContent = d.toLocaleString(undefined, {
year: 'numeric', month: 'short', day: 'numeric',
hour: '2-digit', minute: '2-digit'
});
}
}
});
// Clear History
document.getElementById('clear-history').addEventListener('click', function() {
if (confirm('Are you sure you want to clear the prediction history?')) {
fetch('/clear-history', {
method: 'POST'
})
.then(response => response.json())
.then(data => {
if (data.success) {
document.getElementById('history-container').innerHTML = `
<div class="text-center py-8 text-gray-500 col-span-full">
<p>No predictions yet. Upload an image to get started!</p>
</div>
`;
}
})
.catch(err => {
console.error('Error clearing history:', err);
});
}
});
tsParticles.load("tsparticles", {
fullScreen: { enable: false },
background: { color: "transparent" },
particles: {
number: { value: 60, density: { enable: true, value_area: 800 } },
color: { value: ["#4ade80", "#60a5fa", "#facc15"] },
shape: { type: "circle" },
opacity: { value: 0.25 },
size: { value: 4, random: { enable: true, minimumValue: 2 } },
move: { enable: true, speed: 1, direction: "none", outModes: "out" }
},
interactivity: {
events: { onHover: { enable: true, mode: "repulse" }, resize: true },
modes: { repulse: { distance: 80, duration: 0.4 } }
}
});
// Filter functionality for history cards (wrapped in DOMContentLoaded)
document.addEventListener('DOMContentLoaded', function() {
const filterBtns = document.querySelectorAll('.filter-btn');
const historyCards = document.querySelectorAll('.history-card');
filterBtns.forEach(btn => {
btn.addEventListener('click', function() {
filterBtns.forEach(b => b.classList.remove('active', 'bg-blue-100', 'text-blue-700'));
this.classList.add('active', 'bg-blue-100', 'text-blue-700');
const filter = this.getAttribute('data-filter');
historyCards.forEach(card => {
if (filter === 'all' || card.getAttribute('data-prediction') === filter) {
card.style.display = '';
card.classList.remove('opacity-0', 'scale-95');
card.classList.add('opacity-100', 'scale-100');
} else {
card.classList.add('opacity-0', 'scale-95');
setTimeout(() => { card.style.display = 'none'; }, 200);
}
});
});
});
});
// Webcam detection logic
const cameraBtn = document.getElementById('camera-btn');
const cameraModal = document.getElementById('camera-modal');
const closeCamera = document.getElementById('close-camera');
const webcam = document.getElementById('webcam');
const webcamCanvas = document.getElementById('webcam-canvas');
const captureBtn = document.getElementById('capture-btn');
let stream = null;
cameraBtn.addEventListener('click', async (event) => {
event.stopPropagation(); // Prevents drop zone click
cameraModal.classList.remove('hidden');
try {
stream = await navigator.mediaDevices.getUserMedia({ video: true });
webcam.srcObject = stream;
} catch (err) {
alert('Could not access the camera.');
cameraModal.classList.add('hidden');
}
});
closeCamera.addEventListener('click', () => {
cameraModal.classList.add('hidden');
if (stream) {
stream.getTracks().forEach(track => track.stop());
}
});
captureBtn.addEventListener('click', () => {
const context = webcamCanvas.getContext('2d');
webcamCanvas.width = webcam.videoWidth;
webcamCanvas.height = webcam.videoHeight;
context.drawImage(webcam, 0, 0, webcam.videoWidth, webcam.videoHeight);
webcamCanvas.toBlob(blob => {
// Stop the camera
if (stream) {
stream.getTracks().forEach(track => track.stop());
}
cameraModal.classList.add('hidden');
// Send the captured image as a file to the backend
const file = new File([blob], 'webcam.jpg', { type: 'image/jpeg' });
uploadFile(file);
}, 'image/jpeg', 0.95);
});
</script>
</body>
</html>