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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>AI Property Verifier</title>
<link href="https://fonts.googleapis.com/css2?family=Poppins:wght@300;400;500;600;700&display=swap" rel="stylesheet">
<script src="https://cdn.jsdelivr.net/npm/chart.js"></script>
<style>
:root {
--primary: #4361ee;
--secondary: #3f37c9;
--success: #4cc9f0;
--danger: #f72585;
--warning: #f8961e;
--info: #4895ef;
--light: #f8f9fa;
--dark: #212529;
--gray: #6c757d;
--border-radius: 12px;
--box-shadow: 0 4px 12px rgba(0, 0, 0, 0.1);
}
* {
margin: 0;
padding: 0;
box-sizing: border-box;
}
body {
font-family: 'Poppins', sans-serif;
background-color: #f5f7fa;
color: #333;
line-height: 1.6;
padding: 20px;
}
.container {
max-width: 1200px;
margin: 0 auto;
}
header {
text-align: center;
margin-bottom: 30px;
}
h1 {
font-size: 2.5rem;
color: var(--primary);
margin-bottom: 10px;
}
.subtitle {
font-size: 1.1rem;
color: var(--gray);
}
.card {
background: white;
border-radius: var(--border-radius);
box-shadow: var(--box-shadow);
padding: 25px;
margin-bottom: 25px;
}
.card-header {
border-bottom: 1px solid #eee;
padding-bottom: 15px;
margin-bottom: 20px;
display: flex;
justify-content: space-between;
align-items: center;
}
.card-title {
font-size: 1.5rem;
color: var(--dark);
font-weight: 600;
}
.form-grid {
display: grid;
grid-template-columns: repeat(auto-fill, minmax(300px, 1fr));
gap: 20px;
}
.form-group {
margin-bottom: 20px;
}
.form-label {
display: block;
margin-bottom: 8px;
font-weight: 500;
color: var(--dark);
}
.form-control {
width: 100%;
padding: 12px 15px;
border: 1px solid #ddd;
border-radius: var(--border-radius);
font-size: 1rem;
transition: border-color 0.3s;
}
.form-control:focus {
border-color: var(--primary);
outline: none;
box-shadow: 0 0 0 3px rgba(67, 97, 238, 0.1);
}
textarea.form-control {
min-height: 100px;
resize: vertical;
}
.btn {
display: inline-block;
padding: 12px 24px;
background-color: var(--primary);
color: white;
border: none;
border-radius: var(--border-radius);
font-size: 1rem;
font-weight: 500;
cursor: pointer;
transition: all 0.3s;
}
.btn:hover {
background-color: var(--secondary);
transform: translateY(-2px);
}
.btn-block {
display: block;
width: 100%;
}
.section-title {
font-size: 1.2rem;
color: var(--primary);
margin-bottom: 15px;
font-weight: 600;
}
.results-container {
display: none;
margin-top: 30px;
}
.results-grid {
display: grid;
grid-template-columns: repeat(auto-fill, minmax(450px, 1fr));
gap: 25px;
}
.result-card {
background: white;
border-radius: var(--border-radius);
box-shadow: var(--box-shadow);
padding: 20px;
height: 100%;
}
.result-header {
display: flex;
align-items: center;
margin-bottom: 15px;
}
.result-icon {
width: 40px;
height: 40px;
background-color: var(--light);
border-radius: 50%;
display: flex;
align-items: center;
justify-content: center;
margin-right: 15px;
}
.result-title {
font-size: 1.2rem;
font-weight: 600;
color: var(--dark);
}
.trust-score {
text-align: center;
padding: 20px;
}
.score-value {
font-size: 3rem;
font-weight: 700;
color: var(--primary);
}
.score-label {
font-size: 1rem;
color: var(--gray);
}
.progress-container {
margin: 15px 0;
}
.progress-bar {
height: 10px;
background-color: #eee;
border-radius: 5px;
overflow: hidden;
}
.progress-fill {
height: 100%;
background-color: var(--primary);
border-radius: 5px;
transition: width 0.5s ease-in-out;
}
.alert {
padding: 15px;
border-radius: var(--border-radius);
margin-bottom: 20px;
font-weight: 500;
}
.alert-danger {
background-color: rgba(247, 37, 133, 0.1);
color: var(--danger);
border-left: 4px solid var(--danger);
}
.alert-warning {
background-color: rgba(248, 150, 30, 0.1);
color: var(--warning);
border-left: 4px solid var(--warning);
}
.alert-success {
background-color: rgba(76, 201, 240, 0.1);
color: var(--success);
border-left: 4px solid var(--success);
}
.suggestion-list {
list-style-type: none;
padding: 0;
}
.suggestion-item {
padding: 10px 15px;
background-color: rgba(67, 97, 238, 0.05);
border-radius: var(--border-radius);
margin-bottom: 10px;
border-left: 3px solid var(--primary);
}
.image-preview {
display: flex;
flex-wrap: wrap;
gap: 10px;
margin-top: 10px;
}
.preview-item {
width: 100px;
height: 100px;
border-radius: 8px;
overflow: hidden;
position: relative;
}
.preview-item img {
width: 100%;
height: 100%;
object-fit: cover;
}
.preview-remove {
position: absolute;
top: 5px;
right: 5px;
background: rgba(0, 0, 0, 0.5);
color: white;
border: none;
border-radius: 50%;
width: 20px;
height: 20px;
display: flex;
align-items: center;
justify-content: center;
cursor: pointer;
}
.loading {
display: none;
text-align: center;
padding: 30px;
}
.spinner {
width: 50px;
height: 50px;
border: 5px solid rgba(67, 97, 238, 0.1);
border-radius: 50%;
border-top-color: var(--primary);
animation: spin 1s ease-in-out infinite;
margin: 0 auto 20px;
}
@keyframes spin {
to { transform: rotate(360deg); }
}
.chart-container {
position: relative;
height: 200px;
margin-bottom: 20px;
}
.pdf-preview {
background-color: #f8f9fa;
padding: 15px;
border-radius: var(--border-radius);
margin-top: 10px;
max-height: 200px;
overflow-y: auto;
}
.pdf-filename {
font-weight: 500;
margin-bottom: 5px;
}
.image-gallery {
display: grid;
grid-template-columns: repeat(auto-fill, minmax(150px, 1fr));
gap: 15px;
margin-top: 20px;
}
.gallery-item {
border-radius: var(--border-radius);
overflow: hidden;
box-shadow: var(--box-shadow);
aspect-ratio: 1;
}
.gallery-item img {
width: 100%;
height: 100%;
object-fit: cover;
}
.badge {
display: inline-block;
padding: 5px 10px;
border-radius: 20px;
font-size: 0.8rem;
font-weight: 500;
margin-right: 5px;
margin-bottom: 5px;
}
.badge-primary { background-color: rgba(67, 97, 238, 0.1); color: var(--primary); }
.badge-success { background-color: rgba(76, 201, 240, 0.1); color: var(--success); }
.badge-warning { background-color: rgba(248, 150, 30, 0.1); color: var(--warning); }
.badge-danger { background-color: rgba(247, 37, 133, 0.1); color: var(--danger); }
.explanation-box {
background-color: #f8f9fa;
border-radius: var(--border-radius);
padding: 15px;
margin-top: 15px;
border-left: 4px solid var(--info);
}
.explanation-title {
font-weight: 600;
color: var(--info);
margin-bottom: 10px;
}
@media (max-width: 768px) {
.form-grid, .results-grid {
grid-template-columns: 1fr;
}
.card {
padding: 15px;
}
}
.property-summary {
padding: 15px;
}
.property-details p {
margin-bottom: 8px;
}
.final-verdict {
padding: 15px;
}
.verdict-box {
display: flex;
align-items: center;
padding: 15px;
border-radius: var(--border-radius);
margin-bottom: 15px;
background-color: #f8f9fa;
}
.verdict-icon {
font-size: 2rem;
margin-right: 15px;
}
.verdict-text {
font-size: 1.2rem;
font-weight: 600;
}
.verdict-legitimate {
background-color: rgba(76, 201, 240, 0.1);
border-left: 4px solid var(--success);
}
.verdict-suspicious {
background-color: rgba(248, 150, 30, 0.1);
border-left: 4px solid var(--warning);
}
.verdict-fraudulent {
background-color: rgba(247, 37, 133, 0.1);
border-left: 4px solid var(--danger);
}
.verification-scores {
padding: 15px;
}
.score-item {
margin-bottom: 15px;
}
.score-label {
font-weight: 500;
margin-bottom: 5px;
}
.score-bar-container {
display: flex;
align-items: center;
}
.score-bar {
height: 10px;
background-color: #e9ecef;
border-radius: 5px;
flex-grow: 1;
margin-right: 10px;
position: relative;
overflow: hidden;
}
.score-bar::before {
content: '';
position: absolute;
top: 0;
left: 0;
height: 100%;
background-color: var(--primary);
border-radius: 5px;
width: 0%;
transition: width 0.5s ease;
}
.score-value {
font-weight: 600;
min-width: 40px;
text-align: right;
}
.red-flags {
padding: 15px;
}
.verdict-score {
text-align: center;
margin: 15px 0;
padding: 10px;
background-color: rgba(67, 97, 238, 0.05);
border-radius: var(--border-radius);
}
.verdict-details {
margin-top: 20px;
}
.verdict-section {
margin-bottom: 15px;
padding: 10px;
border-radius: var(--border-radius);
}
.verdict-section h4 {
font-size: 1rem;
margin-bottom: 10px;
color: var(--dark);
}
#criticalIssuesSection {
background-color: rgba(247, 37, 133, 0.05);
border-left: 4px solid var(--danger);
}
#warningsSection {
background-color: rgba(248, 150, 30, 0.05);
border-left: 4px solid var(--warning);
}
#recommendationsSection {
background-color: rgba(76, 201, 240, 0.05);
border-left: 4px solid var(--success);
}
.price-analysis-content {
padding: 15px;
}
.price-overview {
display: flex;
justify-content: space-between;
align-items: center;
margin-bottom: 20px;
padding: 15px;
background: #f8f9fa;
border-radius: var(--border-radius);
}
.price-main {
display: flex;
gap: 20px;
}
.price-value, .price-assessment {
display: flex;
flex-direction: column;
}
.label {
font-size: 0.9rem;
color: var(--gray);
}
.value {
font-size: 1.2rem;
font-weight: 600;
color: var(--dark);
}
.price-confidence {
display: flex;
align-items: center;
gap: 10px;
}
.confidence-bar {
width: 100px;
height: 8px;
background: #e9ecef;
border-radius: 4px;
overflow: hidden;
}
.confidence-fill {
height: 100%;
background: var(--primary);
transition: width 0.3s ease;
}
.confidence-value {
font-size: 0.9rem;
color: var(--gray);
}
.price-details {
display: grid;
gap: 20px;
}
.price-ranges, .market-trends, .price-factors, .risk-indicators {
background: white;
padding: 15px;
border-radius: var(--border-radius);
box-shadow: 0 2px 4px rgba(0,0,0,0.05);
}
.range-grid {
display: grid;
grid-template-columns: repeat(3, 1fr);
gap: 15px;
margin-top: 10px;
}
.range-item {
padding: 10px;
border-radius: var(--border-radius);
text-align: center;
}
.range-item.budget {
background: #e3f2fd;
}
.range-item.mid-range {
background: #f3e5f5;
}
.range-item.premium {
background: #fff3e0;
}
.range-label {
display: block;
font-size: 0.9rem;
color: var(--gray);
margin-bottom: 5px;
}
.range-value {
font-weight: 600;
color: var(--dark);
}
.trend-info {
display: grid;
grid-template-columns: repeat(2, 1fr);
gap: 15px;
margin-top: 10px;
}
.trend-item {
display: flex;
flex-direction: column;
}
.trend-label {
font-size: 0.9rem;
color: var(--gray);
}
.trend-value {
font-weight: 600;
color: var(--dark);
}
.factors-grid {
display: grid;
grid-template-columns: repeat(3, 1fr);
gap: 15px;
margin-top: 10px;
}
.factor-item {
padding: 10px;
background: #f8f9fa;
border-radius: var(--border-radius);
}
.factor-label {
display: block;
font-size: 0.9rem;
color: var(--gray);
margin-bottom: 5px;
}
.factor-details {
display: flex;
flex-direction: column;
gap: 5px;
}
.factor-value {
font-weight: 600;
color: var(--dark);
}
.factor-impact {
font-size: 0.8rem;
color: var(--gray);
}
.risk-list {
list-style: none;
padding: 0;
margin: 10px 0 0 0;
}
.risk-list li {
padding: 8px 12px;
margin-bottom: 5px;
background: #fff3e0;
border-radius: var(--border-radius);
font-size: 0.9rem;
color: #e65100;
}
h4 {
font-size: 1.1rem;
color: var(--primary);
margin-bottom: 10px;
}
.fraud-analysis-content {
padding: 20px;
}
.fraud-overview {
display: flex;
justify-content: space-between;
align-items: center;
margin-bottom: 20px;
padding: 15px;
background: #f8f9fa;
border-radius: var(--border-radius);
}
.fraud-main {
display: flex;
gap: 20px;
}
.fraud-status, .fraud-confidence {
display: flex;
flex-direction: column;
}
.fraud-score {
display: flex;
align-items: center;
gap: 10px;
}
.score-bar {
width: 100px;
height: 8px;
background: #e9ecef;
border-radius: 4px;
overflow: hidden;
}
.score-fill {
height: 100%;
background: var(--primary);
transition: width 0.3s ease;
}
.risk-levels {
display: grid;
grid-template-columns: repeat(3, 1fr);
gap: 20px;
margin-bottom: 20px;
}
.risk-section {
padding: 15px;
border-radius: var(--border-radius);
background: white;
box-shadow: 0 2px 4px rgba(0,0,0,0.05);
}
.risk-section.high-risk {
border-left: 4px solid var(--danger);
}
.risk-section.medium-risk {
border-left: 4px solid var(--warning);
}
.risk-section.low-risk {
border-left: 4px solid var(--success);
}
.risk-list {
list-style: none;
padding: 0;
margin: 10px 0 0 0;
}
.risk-list li {
padding: 8px 12px;
margin-bottom: 5px;
border-radius: var(--border-radius);
font-size: 0.9rem;
}
.high-risk .risk-list li {
background: rgba(247, 37, 133, 0.1);
color: var(--danger);
}
.medium-risk .risk-list li {
background: rgba(248, 150, 30, 0.1);
color: var(--warning);
}
.low-risk .risk-list li {
background: rgba(76, 201, 240, 0.1);
color: var(--success);
}
.fraud-chart-container {
margin: 20px 0;
height: 200px;
}
.fraud-reasoning {
background: #f8f9fa;
padding: 15px;
border-radius: var(--border-radius);
margin-top: 20px;
}
.reasoning-text {
font-size: 0.9rem;
line-height: 1.5;
color: var(--gray);
}
.image-analysis-summary {
background: #f8f9fa;
padding: 15px;
border-radius: var(--border-radius);
margin-bottom: 20px;
}
.image-container {
position: relative;
width: 100%;
height: 200px;
overflow: hidden;
border-radius: var(--border-radius);
}
.image-container img {
width: 100%;
height: 100%;
object-fit: cover;
}
.image-overlay {
position: absolute;
top: 0;
left: 0;
right: 0;
bottom: 0;
background: rgba(0, 0, 0, 0.5);
display: flex;
flex-direction: column;
justify-content: space-between;
padding: 10px;
opacity: 0;
transition: opacity 0.3s ease;
}
.gallery-item:hover .image-overlay {
opacity: 1;
}
.confidence-score {
color: white;
font-size: 0.9rem;
text-align: right;
}
.analysis-grid {
display: grid;
grid-template-columns: repeat(auto-fill, minmax(250px, 1fr));
gap: 20px;
margin-top: 20px;
}
.analysis-item {
background: white;
padding: 15px;
border-radius: var(--border-radius);
box-shadow: 0 2px 4px rgba(0,0,0,0.05);
}
</style>
</head>
<body>
<div class="container">
<header>
<h1>AI Property Verifier & Fraud Detection</h1>
<p class="subtitle">Powered by advanced AI models to verify property listings and detect potential fraud</p>
</header>
<div class="card">
<div class="card-header">
<h2 class="card-title">Property Details</h2>
</div>
<form id="propertyForm">
<div class="section-title">Basic Information</div>
<div class="form-grid">
<div class="form-group">
<label class="form-label" for="propertyName">Property Name</label>
<input type="text" class="form-control" id="propertyName" name="property_name" required>
</div>
<div class="form-group">
<label class="form-label" for="propertyType">Property Type</label>
<select class="form-control" id="propertyType" name="property_type" required>
<option value="">Select Type</option>
<option value="Apartment">Apartment</option>
<option value="House">House</option>
<option value="Condo">Condo</option>
<option value="Townhouse">Townhouse</option>
<option value="Villa">Villa</option>
<option value="Land">Land</option>
<option value="Commercial">Commercial</option>
<option value="Other">Other</option>
</select>
</div>
<div class="form-group">
<label class="form-label" for="status">Status</label>
<select class="form-control" id="status" name="status" required>
<option value="">Select Status</option>
<option value="For Sale">For Sale</option>
<option value="For Rent">For Rent</option>
<option value="Sold">Sold</option>
<option value="Under Contract">Under Contract</option>
<option value="Pending">Pending</option>
</select>
</div>
</div>
<div class="form-group">
<label class="form-label" for="description">Property Description</label>
<textarea class="form-control" id="description" name="description" rows="4" required></textarea>
</div>
<div class="section-title">Location Details</div>
<div class="form-grid">
<div class="form-group">
<label class="form-label" for="address">Address</label>
<input type="text" class="form-control" id="address" name="address" required>
</div>
<div class="form-group">
<label class="form-label" for="city">City</label>
<input type="text" class="form-control" id="city" name="city" required>
</div>
<div class="form-group">
<label class="form-label" for="state">State/Province</label>
<input type="text" class="form-control" id="state" name="state" required>
</div>
<div class="form-group">
<label class="form-label" for="country">Country</label>
<input type="text" class="form-control" id="country" name="country" required>
</div>
<div class="form-group">
<label class="form-label" for="zip">Zip/Postal Code</label>
<input type="text" class="form-control" id="zip" name="zip" required>
</div>
<div class="form-group">
<label class="form-label" for="latitude">Latitude</label>
<input type="text" class="form-control" id="latitude" name="latitude" placeholder="e.g. 40.7128">
</div>
<div class="form-group">
<label class="form-label" for="longitude">Longitude</label>
<input type="text" class="form-control" id="longitude" name="longitude" placeholder="e.g. -74.0060">
</div>
</div>
<div class="section-title">Property Specifications</div>
<div class="form-grid">
<div class="form-group">
<label class="form-label" for="bedrooms">Bedrooms</label>
<input type="number" class="form-control" id="bedrooms" name="bedrooms" min="0">
</div>
<div class="form-group">
<label class="form-label" for="bathrooms">Bathrooms</label>
<input type="number" class="form-control" id="bathrooms" name="bathrooms" min="0" step="0.5">
</div>
<div class="form-group">
<label class="form-label" for="totalRooms">Total Rooms</label>
<input type="number" class="form-control" id="totalRooms" name="total_rooms" min="0">
</div>
<div class="form-group">
<label class="form-label" for="yearBuilt">Year Built</label>
<input type="number" class="form-control" id="yearBuilt" name="year_built" min="1800" max="2100">
</div>
<div class="form-group">
<label class="form-label" for="parking">Parking Spaces</label>
<input type="number" class="form-control" id="parking" name="parking" min="0">
</div>
<div class="form-group">
<label class="form-label" for="sqFt">Square Feet</label>
<input type="text" class="form-control" id="sqFt" name="sq_ft" min="0">
</div>
<div class="form-group">
<label class="form-label" for="marketValue">Market Value</label>
<input type="text" class="form-control" id="marketValue" name="market_value" min="0">
</div>
</div>
<div class="form-group">
<label class="form-label" for="amenities">Amenities (comma separated)</label>
<input type="text" class="form-control" id="amenities" name="amenities" placeholder="e.g. Pool, Gym, Garden, Garage">
</div>
<div class="form-group">
<label class="form-label" for="nearbyLandmarks">Nearby Landmarks</label>
<input type="text" class="form-control" id="nearbyLandmarks" name="nearby_landmarks" placeholder="e.g. School, Hospital, Park, Shopping Mall">
</div>
<div class="form-group">
<label class="form-label" for="legalDetails">Legal & Infrastructure Details</label>
<textarea class="form-control" id="legalDetails" name="legal_details" rows="3" placeholder="Include zoning, permits, utilities, etc."></textarea>
</div>
<div class="section-title">Documents & Images</div>
<div class="form-group">
<label class="form-label" for="images">Upload Images (JPG/PNG)</label>
<input type="file" class="form-control" id="images" name="images" accept="image/jpeg, image/png" multiple>
<div class="image-preview" id="imagePreview"></div>
</div>
<div class="form-group">
<label class="form-label" for="documents">Upload Documents (PDF)</label>
<input type="file" class="form-control" id="documents" name="documents" accept="application/pdf" multiple>
<div id="pdfPreview"></div>
</div>
<div class="form-group">
<button type="submit" class="btn btn-block" id="submitBtn">Verify Property with AI</button>
</div>
</form>
</div>
<div class="loading" id="loadingIndicator">
<div class="spinner"></div>
<p>AI models are analyzing your property data...</p>
<p class="subtitle">This may take a moment as we're processing multiple AI models</p>
</div>
<div class="results-container" id="resultsContainer">
<div class="card">
<div class="card-header">
<h2 class="card-title">AI Verification Results</h2>
</div>
<div class="results-grid">
<div class="result-card">
<div class="result-header">
<div class="result-icon">🏠</div>
<div class="result-title">Property Summary</div>
</div>
<div class="property-summary">
<h3 id="propertyTitle">Property Details</h3>
<div class="property-details">
<p><strong>Name:</strong> <span id="summaryName"></span></p>
<p><strong>Type:</strong> <span id="summaryType"></span></p>
<p><strong>Status:</strong> <span id="summaryStatus"></span></p>
<p><strong>Location:</strong> <span id="summaryLocation"></span></p>
<p><strong>Price:</strong> <span id="summaryPrice"></span></p>
<p><strong>Size:</strong> <span id="summarySize"></span></p>
<p><strong>Bedrooms/Bathrooms:</strong> <span id="summaryRooms"></span></p>
</div>
</div>
</div>
<div class="result-card">
<div class="result-header">
<div class="result-icon">⚠️</div>
<div class="result-title">Final Verdict</div>
</div>
<div class="final-verdict" id="finalVerdict">
<div class="verdict-box" id="verdictBox">
<div class="verdict-icon" id="verdictIcon"></div>
<div class="verdict-text" id="verdictText">Analysis in progress...</div>
</div>
<div class="verdict-score">
<div class="score-label">Overall Score</div>
<div class="score-value" id="verdictScoreValue">--</div>
<div class="progress-container">
<div class="progress-bar">
<div class="progress-fill" id="verdictScoreBar" style="width: 0%"></div>
</div>
</div>
</div>
<div class="verdict-details">
<div class="verdict-section" id="criticalIssuesSection">
<h4>Critical Issues</h4>
<ul id="criticalIssuesList" class="suggestion-list">
<!-- Will be populated by JavaScript -->
</ul>
</div>
<div class="verdict-section" id="warningsSection">
<h4>Warnings</h4>
<ul id="warningsList" class="suggestion-list">
<!-- Will be populated by JavaScript -->
</ul>
</div>
<div class="verdict-section" id="recommendationsSection">
<h4>Recommendations</h4>
<ul id="recommendationsList" class="suggestion-list">
<!-- Will be populated by JavaScript -->
</ul>
</div>
</div>
</div>
</div>
<div class="result-card">
<div class="result-header">
<div class="result-icon">🔍</div>
<div class="result-title">Detailed Verification</div>
</div>
<div class="verification-scores">
<div class="score-item">
<div class="score-label">Trust Score</div>
<div class="score-bar-container">
<div class="score-bar" id="trustBar"></div>
<div class="score-value" id="trustValue">--</div>
</div>
</div>
<div class="score-item">
<div class="score-label">Image Authenticity</div>
<div class="score-bar-container">
<div class="score-bar" id="imageBar"></div>
<div class="score-value" id="imageValue">--</div>
</div>
</div>
<div class="score-item">
<div class="score-label">Document Verification</div>
<div class="score-bar-container">
<div class="score-bar" id="documentBar"></div>
<div class="score-value" id="documentValue">--</div>
</div>
</div>
<div class="score-item">
<div class="score-label">Content Quality</div>
<div class="score-bar-container">
<div class="score-bar" id="contentBar"></div>
<div class="score-value" id="contentValue">--</div>
</div>
</div>
<div class="score-item">
<div class="score-label">Location Accuracy</div>
<div class="score-bar-container">
<div class="score-bar" id="locationBar"></div>
<div class="score-value" id="locationValue">--</div>
</div>
</div>
</div>
</div>
<div class="result-card">
<div class="result-header">
<div class="result-icon">🚩</div>
<div class="result-title">Red Flags</div>
</div>
<div class="red-flags">
<ul id="redFlagsList" class="suggestion-list">
<!-- Will be populated by JavaScript -->
</ul>
</div>
</div>
<div class="result-card">
<div class="result-header">
<div class="result-icon">📊</div>
<div class="result-title">Trust Score</div>
</div>
<div class="trust-score">
<div class="score-value" id="trustScoreValue">--</div>
<div class="score-label">Trust Score</div>
<div class="progress-container">
<div class="progress-bar">
<div class="progress-fill" id="trustScoreBar" style="width: 0%"></div>
</div>
</div>
</div>
<div class="chart-container">
<canvas id="trustScoreChart"></canvas>
</div>
<div class="explanation-box">
<div class="explanation-title">AI Reasoning</div>
<div id="trustReasoning"></div>
</div>
</div>
<div class="result-card">
<div class="result-header">
<div class="result-icon">🔍</div>
<div class="result-title">Fraud Analysis</div>
</div>
<div id="fraudAlertContainer" class="fraud-analysis-content">
<div class="fraud-overview">
<div class="fraud-main">
<div class="fraud-status">
<span class="label">Alert Level</span>
<span class="value" id="fraud-alert-level">Unknown</span>
</div>
<div class="fraud-confidence">
<span class="label">Confidence</span>
<span class="value" id="fraud-confidence">0%</span>
</div>
</div>
<div class="fraud-score">
<div class="score-bar">
<div class="score-fill" id="fraud-score-bar"></div>
</div>
<span class="score-value" id="fraud-score-value">0%</span>
</div>
</div>
<div class="fraud-details">
<div class="risk-levels">
<div class="risk-section high-risk">
<h4>High Risk Indicators</h4>
<ul id="high-risk-list" class="risk-list">
<!-- Will be populated dynamically -->
</ul>
</div>
<div class="risk-section medium-risk">
<h4>Medium Risk Indicators</h4>
<ul id="medium-risk-list" class="risk-list">
<!-- Will be populated dynamically -->
</ul>
</div>
<div class="risk-section low-risk">
<h4>Low Risk Indicators</h4>
<ul id="low-risk-list" class="risk-list">
<!-- Will be populated dynamically -->
</ul>
</div>
</div>
<div class="fraud-chart-container">
<canvas id="fraudAnalysisChart"></canvas>
</div>
<div class="fraud-reasoning">
<h4>AI Reasoning</h4>
<div id="fraudReasoning" class="reasoning-text">
<!-- Will be populated dynamically -->
</div>
</div>
</div>
</div>
</div>
<div class="result-card">
<div class="result-header">
<div class="result-icon">📝</div>
<div class="result-title">AI Summary</div>
</div>
<div id="aiSummary"></div>
</div>
<div class="result-card">
<div class="result-header">
<div class="result-icon">💡</div>
<div class="result-title">Improvement Suggestions</div>
</div>
<div id="improvementSuggestions"></div>
</div>
<div class="result-card">
<div class="result-header">
<div class="result-icon">🏠</div>
<div class="result-title">Property Quality Assessment</div>
</div>
<div id="qualityAssessment"></div>
<div class="chart-container">
<canvas id="qualityChart"></canvas>
</div>
</div>
<div class="result-card">
<div class="result-header">
<div class="result-icon">📍</div>
<div class="result-title">Location Analysis</div>
</div>
<div id="locationAnalysis"></div>
<div class="chart-container">
<canvas id="locationChart"></canvas>
</div>
</div>
<div class="result-card">
<div class="result-header">
<div class="result-icon">💰</div>
<div class="result-title">Price Analysis</div>
</div>
<div id="priceAnalysis"></div>
<div class="chart-container">
<canvas id="priceChart"></canvas>
</div>
</div>
<div class="result-card">
<div class="result-header">
<div class="result-icon">⚖️</div>
<div class="result-title">Legal Analysis</div>
</div>
<div id="legalAnalysis"></div>
<div class="chart-container">
<canvas id="legalChart"></canvas>
</div>
</div>
<div class="result-card">
<div class="result-header">
<div class="result-icon">🔄</div>
<div class="result-title">Cross-Validation Checks</div>
</div>
<div id="crossValidation"></div>
</div>
<div class="result-card">
<div class="result-header">
<div class="result-icon">📄</div>
<div class="result-title">Document Analysis</div>
</div>
<div id="documentAnalysis"></div>
<div class="chart-container">
<canvas id="documentChart"></canvas>
</div>
</div>
<div class="result-card">
<div class="result-header">
<div class="result-icon">🖼️</div>
<div class="result-title">Image Analysis</div>
</div>
<div id="imageAnalysis"></div>
<div class="image-gallery" id="imageGallery"></div>
</div>
<div class="result-card">
<div class="result-header">
<div class="result-icon">
<i class="fas fa-chart-line"></i>
</div>
<h3 class="result-title">Price Analysis</h3>
</div>
<div class="price-analysis-content">
<div class="price-overview">
<div class="price-main">
<div class="price-value">
<span class="label">Price per sq.ft.</span>
<span class="value" id="price-per-sqft">₹0</span>
</div>
<div class="price-assessment">
<span class="label">Assessment</span>
<span class="value" id="price-assessment">Unknown</span>
</div>
</div>
<div class="price-confidence">
<div class="confidence-bar">
<div class="confidence-fill" id="price-confidence-bar"></div>
</div>
<span class="confidence-value" id="price-confidence-value">0%</span>
</div>
</div>
<div class="price-details">
<div class="price-ranges">
<h4>Price Ranges</h4>
<div class="range-grid">
<div class="range-item budget">
<span class="range-label">Budget</span>
<span class="range-value" id="budget-range">₹0 - ₹0</span>
</div>
<div class="range-item mid-range">
<span class="range-label">Mid-Range</span>
<span class="range-value" id="mid-range">₹0 - ₹0</span>
</div>
<div class="range-item premium">
<span class="range-label">Premium</span>
<span class="range-value" id="premium-range">₹0 - ₹0</span>
</div>
</div>
</div>
<div class="market-trends">
<h4>Market Trends</h4>
<div class="trend-info">
<div class="trend-item">
<span class="trend-label">City Tier</span>
<span class="trend-value" id="city-tier">Unknown</span>
</div>
<div class="trend-item">
<span class="trend-label">Price Trend</span>
<span class="trend-value" id="price-trend">Unknown</span>
</div>
<div class="trend-item">
<span class="trend-label">Market Average</span>
<span class="trend-value" id="market-average">₹0</span>
</div>
<div class="trend-item">
<span class="trend-label">Deviation</span>
<span class="trend-value" id="price-deviation">0%</span>
</div>
</div>
</div>
<div class="price-factors">
<h4>Price Factors</h4>
<div class="factors-grid">
<div class="factor-item">
<span class="factor-label">Property Age</span>
<div class="factor-details" id="age-factor">
<span class="factor-value">Unknown</span>
<span class="factor-impact">Impact: Unknown</span>
</div>
</div>
<div class="factor-item">
<span class="factor-label">Size Efficiency</span>
<div class="factor-details" id="size-factor">
<span class="factor-value">Unknown</span>
<span class="factor-impact">Impact: Unknown</span>
</div>
</div>
<div class="factor-item">
<span class="factor-label">Amenities</span>
<div class="factor-details" id="amenities-factor">
<span class="factor-value">Unknown</span>
<span class="factor-impact">Impact: Unknown</span>
</div>
</div>
</div>
</div>
<div class="risk-indicators">
<h4>Risk Indicators</h4>
<ul class="risk-list" id="risk-indicators">
<!-- Risk indicators will be populated dynamically -->
</ul>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
<script>
// Global variables to store form data
let uploadedImages = [];
let uploadedPDFs = [];
// Initialize charts
let trustScoreChart;
let fraudAnalysisChart;
let qualityChart;
let locationChart;
let priceChart;
let legalChart;
let documentChart;
document.addEventListener('DOMContentLoaded', function() {
// Request location access when page loads
requestLocationAccess();
const propertyForm = document.getElementById('propertyForm');
const loadingIndicator = document.getElementById('loadingIndicator');
const resultsContainer = document.getElementById('resultsContainer');
const imageInput = document.getElementById('images');
const imagePreview = document.getElementById('imagePreview');
const pdfInput = document.getElementById('documents');
const pdfPreview = document.getElementById('pdfPreview');
// Handle image uploads
imageInput.addEventListener('change', function(e) {
handleImageUpload(e.target.files);
});
// Handle PDF uploads
pdfInput.addEventListener('change', function(e) {
handlePDFUpload(e.target.files);
});
// Form submission
propertyForm.addEventListener('submit', function(e) {
e.preventDefault();
submitForm();
});
// Initialize charts
initCharts();
});
function requestLocationAccess() {
if (navigator.geolocation) {
navigator.geolocation.getCurrentPosition(
function(position) {
const latitude = position.coords.latitude;
const longitude = position.coords.longitude;
// Update form fields with coordinates
document.getElementById('latitude').value = latitude;
document.getElementById('longitude').value = longitude;
// Send to backend to get address details
fetch('/get-location', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
},
body: JSON.stringify({
latitude: latitude,
longitude: longitude
}),
})
.then(response => response.json())
.then(data => {
if (data.status === 'success') {
// Fill form fields with location data
document.getElementById('address').value = data.address || '';
document.getElementById('city').value = data.city || '';
document.getElementById('state').value = data.state || '';
document.getElementById('country').value = data.country || '';
document.getElementById('zip').value = data.postal_code || '';
console.log('Location data loaded successfully');
} else {
console.error('Error getting location details:', data.message);
}
})
.catch(error => {
console.error('Error getting location details:', error);
});
},
function(error) {
console.error('Error getting location:', error.message);
// Show a message to the user about location access
const locationMessage = document.createElement('div');
locationMessage.className = 'alert alert-warning';
locationMessage.innerHTML = 'Location access denied or unavailable. Please enter your location manually.';
document.querySelector('.container').prepend(locationMessage);
// Auto-remove the message after 5 seconds
setTimeout(() => {
locationMessage.remove();
}, 5000);
},
{
enableHighAccuracy: true,
timeout: 5000,
maximumAge: 0
}
);
} else {
console.error('Geolocation is not supported by this browser');
}
}
function handleImageUpload(files) {
const imagePreview = document.getElementById('imagePreview');
imagePreview.innerHTML = ''; // Clear existing previews
uploadedImages = []; // Reset uploaded images array
for (let i = 0; i < files.length; i++) {
const file = files[i];
if (!file.type.match('image.*')) continue;
const reader = new FileReader();
reader.onload = function(e) {
const imageData = e.target.result;
uploadedImages.push({
name: file.name,
data: imageData,
file: file
});
// Create preview
const previewItem = document.createElement('div');
previewItem.className = 'preview-item';
previewItem.innerHTML = `
<img src="${imageData}" alt="${file.name}">
<button type="button" class="preview-remove" data-index="${uploadedImages.length - 1}">×</button>
`;
imagePreview.appendChild(previewItem);
// Add remove functionality
previewItem.querySelector('.preview-remove').addEventListener('click', function() {
const index = parseInt(this.getAttribute('data-index'));
uploadedImages.splice(index, 1);
imagePreview.removeChild(previewItem);
updateImagePreviews();
});
};
reader.readAsDataURL(file);
}
}
function updateImagePreviews() {
const imagePreview = document.getElementById('imagePreview');
imagePreview.innerHTML = '';
uploadedImages.forEach((image, index) => {
const previewItem = document.createElement('div');
previewItem.className = 'preview-item';
previewItem.innerHTML = `
<img src="${image.data}" alt="${image.name}">
<button type="button" class="preview-remove" data-index="${index}">×</button>
`;
imagePreview.appendChild(previewItem);
previewItem.querySelector('.preview-remove').addEventListener('click', function() {
uploadedImages.splice(index, 1);
updateImagePreviews();
});
});
}
function handlePDFUpload(files) {
const pdfPreview = document.getElementById('pdfPreview');
pdfPreview.innerHTML = ''; // Clear existing previews
uploadedPDFs = []; // Reset uploaded PDFs array
for (let i = 0; i < files.length; i++) {
const file = files[i];
if (file.type !== 'application/pdf') continue;
uploadedPDFs.push({
name: file.name,
file: file
});
// Create preview
const previewItem = document.createElement('div');
previewItem.className = 'pdf-preview';
previewItem.innerHTML = `
<div class="pdf-filename">${file.name}</div>
<button type="button" class="btn" data-index="${uploadedPDFs.length - 1}">Remove</button>
`;
pdfPreview.appendChild(previewItem);
// Add remove functionality
previewItem.querySelector('.btn').addEventListener('click', function() {
const index = parseInt(this.getAttribute('data-index'));
uploadedPDFs.splice(index, 1);
pdfPreview.removeChild(previewItem);
updatePDFPreviews();
});
}
}
function updatePDFPreviews() {
const pdfPreview = document.getElementById('pdfPreview');
pdfPreview.innerHTML = '';
uploadedPDFs.forEach((pdf, index) => {
const previewItem = document.createElement('div');
previewItem.className = 'pdf-preview';
previewItem.innerHTML = `
<div class="pdf-filename">${pdf.name}</div>
<button type="button" class="btn" data-index="${index}">Remove</button>
`;
pdfPreview.appendChild(previewItem);
previewItem.querySelector('.btn').addEventListener('click', function() {
uploadedPDFs.splice(index, 1);
updatePDFPreviews();
});
});
}
function initCharts() {
try {
// Store all charts in an array for easier management
window.charts = [];
// Trust Score Chart initialization
const trustCtx = document.getElementById('trustScoreChart').getContext('2d');
trustScoreChart = new Chart(trustCtx, {
type: 'doughnut',
data: {
datasets: [{
data: [0, 100],
backgroundColor: [
'#4361ee',
'#f1f1f1'
],
borderWidth: 0
}]
},
options: {
cutout: '70%',
circumference: 180,
rotation: -90,
plugins: {
legend: {
display: false
},
tooltip: {
enabled: false
}
},
maintainAspectRatio: false
}
});
charts.push(trustScoreChart);
// Fraud Analysis Chart (Bar)
const fraudAnalysisCtx = document.getElementById('fraudAnalysisChart').getContext('2d');
fraudAnalysisChart = new Chart(fraudAnalysisCtx, {
type: 'bar',
data: {
labels: ['Legitimate', 'Suspicious', 'Fraudulent'],
datasets: [{
label: 'Fraud Indicators',
data: [0, 0, 0],
backgroundColor: [
'#4cc9f0',
'#f8961e',
'#f72585'
],
borderWidth: 0
}]
},
options: {
indexAxis: 'y',
plugins: {
legend: {
display: false
}
},
scales: {
x: {
beginAtZero: true,
max: 100
}
},
maintainAspectRatio: false
}
});
// Quality Assessment Chart
const qualityCtx = document.getElementById('qualityChart').getContext('2d');
qualityChart = new Chart(qualityCtx, {
type: 'radar',
data: {
labels: ['Completeness', 'Accuracy', 'Clarity', 'Authenticity', 'Detail'],
datasets: [{
label: 'Quality Score',
data: [0, 0, 0, 0, 0],
backgroundColor: 'rgba(67, 97, 238, 0.2)',
borderColor: '#4361ee',
borderWidth: 2,
pointBackgroundColor: '#4361ee'
}]
},
options: {
scales: {
r: {
beginAtZero: true,
max: 100
}
},
maintainAspectRatio: false
}
});
// Location Analysis Chart
const locationCtx = document.getElementById('locationChart').getContext('2d');
locationChart = new Chart(locationCtx, {
type: 'pie',
data: {
labels: ['Complete', 'Partial', 'Missing'],
datasets: [{
data: [0, 0, 0],
backgroundColor: [
'#4cc9f0',
'#f8961e',
'#f72585'
],
borderWidth: 0
}]
},
options: {
plugins: {
legend: {
position: 'bottom'
}
},
maintainAspectRatio: false
}
});
// Price Analysis Chart
const priceCtx = document.getElementById('priceChart').getContext('2d');
priceChart = new Chart(priceCtx, {
type: 'bar',
data: {
labels: ['Market Value', 'Price per Sq.Ft.'],
datasets: [{
label: 'Price Analysis',
data: [0, 0],
backgroundColor: [
'#4361ee',
'#4895ef'
],
borderWidth: 0
}]
},
options: {
scales: {
y: {
beginAtZero: true
}
},
maintainAspectRatio: false
}
});
// Legal Analysis Chart
const legalCtx = document.getElementById('legalChart').getContext('2d');
legalChart = new Chart(legalCtx, {
type: 'doughnut',
data: {
labels: ['Complete', 'Partial', 'Missing'],
datasets: [{
data: [0, 0, 0],
backgroundColor: [
'#4cc9f0',
'#f8961e',
'#f72585'
],
borderWidth: 0
}]
},
options: {
plugins: {
legend: {
position: 'bottom'
}
},
maintainAspectRatio: false
}
});
// Document Analysis Chart
const documentCtx = document.getElementById('documentChart').getContext('2d');
documentChart = new Chart(documentCtx, {
type: 'polarArea',
data: {
labels: ['Authentic', 'Suspicious', 'Incomplete'],
datasets: [{
data: [0, 0, 0],
backgroundColor: [
'#4cc9f0',
'#f8961e',
'#f72585'
],
borderWidth: 0
}]
},
options: {
plugins: {
legend: {
position: 'bottom'
}
},
maintainAspectRatio: false
}
});
// Add window resize handler for chart responsiveness
window.addEventListener('resize', debounce(() => {
charts.forEach(chart => {
if (chart && typeof chart.resize === 'function') {
chart.resize();
}
});
}, 250));
} catch (error) {
console.error('Error initializing charts:', error);
document.getElementById('chartErrors').innerHTML =
'<div class="alert alert-danger">Error initializing charts. Please refresh the page.</div>';
}
}
// Utility function for debouncing
function debounce(func, wait) {
let timeout;
return function executedFunction(...args) {
const later = () => {
clearTimeout(timeout);
func(...args);
};
clearTimeout(timeout);
timeout = setTimeout(later, wait);
};
}
// Data validation function
function validateAnalysisData(data) {
return {
trustScore: {
score: data.trust_score?.score ?? 0,
reasoning: data.trust_score?.reasoning ?? 'No reasoning provided'
},
fraudClassification: {
alertLevel: data.fraud_classification?.alert_level ?? 'low',
classification: data.fraud_classification?.classification ?? 'Unknown',
confidence: data.fraud_classification?.confidence ?? 0,
indicators: data.fraud_classification?.fraud_indicators ?? [],
scores: data.fraud_classification?.indicator_scores ?? []
},
qualityAssessment: {
assessment: data.quality_assessment?.assessment ?? 'Unknown',
score: data.quality_assessment?.score ?? 0,
isAiGenerated: data.quality_assessment?.is_ai_generated ?? false,
reasoning: data.quality_assessment?.reasoning ?? 'No reasoning provided'
},
// ... other validations
};
}
// Safe chart update function
function updateChart(chart, newData, options = {}) {
try {
if (chart && typeof chart.update === 'function') {
chart.data = newData;
chart.update(options);
return true;
}
return false;
} catch (error) {
console.error('Error updating chart:', error);
return false;
}
}
function submitForm() {
// Show loading indicator
document.getElementById('loadingIndicator').style.display = 'block';
document.getElementById('resultsContainer').style.display = 'none';
// Create form data
const formData = new FormData(document.getElementById('propertyForm'));
// Format price data before sending
const marketValue = document.getElementById('marketValue').value;
const sqFt = document.getElementById('sqFt').value;
// Remove any non-numeric characters except decimal point
const cleanMarketValue = marketValue.replace(/[^0-9.]/g, '');
const cleanSqFt = sqFt.replace(/[^0-9.]/g, '');
// Log the cleaned values to check
console.log('Cleaned Market Value:', cleanMarketValue);
console.log('Cleaned Sq Ft:', cleanSqFt);
// Update form data with cleaned values
formData.set('market_value', cleanMarketValue);
formData.set('sq_ft', cleanSqFt);
// Clear any existing image/document entries
formData.delete('images');
formData.delete('documents');
// Add images (only once)
uploadedImages.forEach((image) => {
formData.append('images', image.file);
});
// Add PDFs (only once)
uploadedPDFs.forEach((pdf) => {
formData.append('documents', pdf.file);
});
// Send to backend
fetch('/verify', {
method: 'POST',
body: formData
})
.then(response => {
if (!response.ok) {
throw new Error('Network response was not ok');
}
return response.json();
})
.then(data => {
// Hide loading indicator
document.getElementById('loadingIndicator').style.display = 'none';
// Display results
displayResults(data);
// Show results container
document.getElementById('resultsContainer').style.display = 'block';
// Scroll to results
document.getElementById('resultsContainer').scrollIntoView({ behavior: 'smooth' });
})
.catch(error => {
console.error('Error:', error);
document.getElementById('loadingIndicator').style.display = 'none';
alert('An error occurred while processing your request. Please try again.');
});
}
function displayResults(data) {
try {
console.log("Received data:", JSON.stringify(data));
// Basic data validation
if (!data) {
throw new Error("No data received from server");
}
// Show results container
const resultsContainer = document.getElementById('resultsContainer');
if (!resultsContainer) {
throw new Error("Results container not found");
}
resultsContainer.style.display = 'block';
// Validate and sanitize data with safe defaults
const validatedData = {
trust_score: {
score: parseFloat(data.trust_score?.score || 0),
reasoning: data.trust_score?.reasoning || 'No reasoning provided'
},
fraud_classification: {
alert_level: data.fraud_classification?.alert_level || 'unknown',
classification: data.fraud_classification?.classification || 'Unknown',
confidence: parseFloat(data.fraud_classification?.confidence || 0),
alert_score: parseFloat(data.fraud_classification?.alert_score || 0),
high_risk: Array.isArray(data.fraud_classification?.high_risk) ? data.fraud_classification.high_risk : [],
medium_risk: Array.isArray(data.fraud_classification?.medium_risk) ? data.fraud_classification.medium_risk : [],
low_risk: Array.isArray(data.fraud_classification?.low_risk) ? data.fraud_classification.low_risk : []
},
quality_assessment: {
assessment: data.quality_assessment?.assessment || 'Unknown',
score: parseFloat(data.quality_assessment?.score || 0),
is_ai_generated: Boolean(data.quality_assessment?.is_ai_generated),
reasoning: data.quality_assessment?.reasoning || 'No reasoning provided'
},
price_analysis: data.price_analysis || {},
location_analysis: data.location_analysis || {},
legal_analysis: data.legal_analysis || {},
document_analysis: data.document_analysis || {},
image_analysis: data.image_analysis || {},
final_verdict: data.final_verdict || {}
};
// Update each section with error handling
try {
updateTrustScore(validatedData.trust_score);
} catch (error) {
console.error('Error updating trust score:', error);
}
try {
updateFraudAnalysis(validatedData.fraud_classification);
} catch (error) {
console.error('Error updating fraud analysis:', error);
}
try {
updateQualityAssessment(validatedData.quality_assessment);
} catch (error) {
console.error('Error updating quality assessment:', error);
}
try {
updatePriceAnalysis(validatedData.price_analysis);
} catch (error) {
console.error('Error updating price analysis:', error);
}
try {
updateLocationAnalysis(validatedData.location_analysis);
} catch (error) {
console.error('Error updating location analysis:', error);
}
try {
updateLegalAnalysis(validatedData.legal_analysis);
} catch (error) {
console.error('Error updating legal analysis:', error);
}
try {
updateDocumentAnalysis(validatedData.document_analysis);
} catch (error) {
console.error('Error updating document analysis:', error);
}
try {
updateImageAnalysis(validatedData.image_analysis);
} catch (error) {
console.error('Error updating image analysis:', error);
}
try {
updateFinalVerdict(validatedData.final_verdict);
} catch (error) {
console.error('Error updating final verdict:', error);
}
try {
updatePropertySummary(data);
} catch (error) {
console.error('Error updating property summary:', error);
}
} catch (error) {
console.error('Error displaying results:', error);
const resultsContainer = document.getElementById('resultsContainer');
if (resultsContainer) {
resultsContainer.innerHTML = `
<div class="alert alert-danger">
<h4>Error Displaying Results</h4>
<p>${error.message}</p>
<p>Please try again or contact support if the problem persists.</p>
</div>
`;
resultsContainer.style.display = 'block';
}
}
}
function updateTrustScore(data) {
try {
const score = Math.min(100, Math.max(0, data.score));
document.getElementById('trustScoreValue').textContent = `${Math.round(score)}%`;
document.getElementById('trustScoreBar').style.width = `${score}%`;
document.getElementById('trustReasoning').textContent = data.reasoning;
// Update Trust Score Chart
if (trustScoreChart) {
trustScoreChart.data.datasets[0].data = [score, 100 - score];
trustScoreChart.update();
}
} catch (error) {
console.error('Error updating trust score:', error);
}
}
function updateFraudAnalysis(data) {
try {
if (!data) {
console.error('No fraud analysis data provided');
return;
}
// Update fraud overview
const alertLevel = document.getElementById('fraud-alert-level');
const confidence = document.getElementById('fraud-confidence');
const scoreValue = document.getElementById('fraud-score-value');
const scoreBar = document.getElementById('fraud-score-bar');
if (alertLevel) {
alertLevel.textContent = (data.alert_level || 'unknown').toUpperCase();
}
if (confidence) {
confidence.textContent = `${Math.round((data.confidence || 0) * 100)}%`;
}
if (scoreValue) {
scoreValue.textContent = `${Math.round((data.alert_score || 0) * 100)}%`;
}
// Update score bar
if (scoreBar) {
const score = Math.round((data.alert_score || 0) * 100);
scoreBar.style.width = `${score}%`;
scoreBar.style.backgroundColor = score >= 70 ? '#f72585' : score >= 40 ? '#f8961e' : '#4cc9f0';
}
// Update risk indicators
updateRiskList('high-risk-list', data.high_risk || []);
updateRiskList('medium-risk-list', data.medium_risk || []);
updateRiskList('low-risk-list', data.low_risk || []);
// Update fraud chart
if (fraudAnalysisChart) {
const highRiskScore = (data.high_risk || []).reduce((sum, [_, score]) => sum + (score || 0), 0) * 100;
const mediumRiskScore = (data.medium_risk || []).reduce((sum, [_, score]) => sum + (score || 0), 0) * 100;
const lowRiskScore = (data.low_risk || []).reduce((sum, [_, score]) => sum + (score || 0), 0) * 100;
fraudAnalysisChart.data.datasets[0].data = [
Math.min(100, highRiskScore),
Math.min(100, mediumRiskScore),
Math.min(100, lowRiskScore)
];
fraudAnalysisChart.update();
}
// Update reasoning
const reasoning = document.getElementById('fraudReasoning');
if (reasoning) {
reasoning.textContent = `This property was classified as ${data.classification || 'Unknown'} based on AI analysis of the listing details.`;
}
} catch (error) {
console.error('Error updating fraud analysis:', error);
}
}
function updateRiskList(listId, indicators) {
try {
const list = document.getElementById(listId);
if (!list) {
console.error(`Risk list element not found: ${listId}`);
return;
}
list.innerHTML = '';
if (!Array.isArray(indicators) || indicators.length === 0) {
const li = document.createElement('li');
li.textContent = 'No indicators found';
list.appendChild(li);
return;
}
indicators.forEach((indicator) => {
try {
const [text, score] = Array.isArray(indicator) ? indicator : [indicator, 0];
const li = document.createElement('li');
li.innerHTML = `${text} <span class="confidence">(${Math.round((score || 0) * 100)}% confidence)</span>`;
list.appendChild(li);
} catch (error) {
console.error('Error processing indicator:', error);
}
});
} catch (error) {
console.error(`Error updating risk list ${listId}:`, error);
}
}
function updateQualityAssessment(data) {
try {
const qualityDiv = document.getElementById('qualityAssessment');
const score = Math.min(100, Math.max(0, data.score));
qualityDiv.innerHTML = `
<div class="quality-score mb-4">
<h5>Content Quality Score</h5>
<div class="score-display">
<span class="score-value">${Math.round(score)}%</span>
<div class="progress">
<div class="progress-bar ${getScoreColorClass(score)}"
role="progressbar"
style="width: ${score}%"
aria-valuenow="${score}"
aria-valuemin="0"
aria-valuemax="100">
</div>
</div>
</div>
</div>
<div class="quality-details">
<div class="detail-item">
<strong>Assessment:</strong> ${data.assessment}
</div>
<div class="detail-item">
<strong>AI Generated:</strong> ${data.is_ai_generated ? 'Yes' : 'No'}
</div>
<div class="detail-item">
<strong>Analysis:</strong>
<p class="reasoning-text">${data.reasoning}</p>
</div>
</div>
`;
// Update Quality Chart
if (qualityChart) {
qualityChart.data.datasets[0].data = [
data.completeness_score || 0,
data.accuracy_score || 0,
data.clarity_score || 0,
data.authenticity_score || 0,
data.detail_score || 0
];
qualityChart.update();
}
} catch (error) {
console.error('Error updating quality assessment:', error);
}
}
function updatePriceAnalysis(data) {
try {
if (!data || !data.has_price) {
document.getElementById('priceAnalysis').innerHTML =
'<p>No price information provided for analysis.</p>';
return;
}
// Update main price information
document.getElementById('price-per-sqft').textContent = data.formatted_price_per_sqft || '₹0';
document.getElementById('price-assessment').textContent = data.assessment || 'Unknown';
// Update confidence
const confidence = Math.round((data.confidence || 0) * 100);
const confidenceBar = document.getElementById('price-confidence-bar');
const confidenceValue = document.getElementById('price-confidence-value');
confidenceValue.textContent = `${confidence}%`;
confidenceBar.style.width = `${confidence}%`;
confidenceBar.style.backgroundColor = getScoreColor(confidence);
// Update price ranges
if (data.market_trends?.price_ranges) {
updatePriceRanges(data.market_trends.price_ranges);
}
// Update market trends
if (data.market_trends) {
updateMarketTrends(data.market_trends);
}
// Update price factors
if (data.price_factors) {
updatePriceFactors(data.price_factors);
}
// Update risk indicators
updateRiskIndicators(data.risk_indicators || []);
// Update price chart
if (priceChart) {
priceChart.data.datasets[0].data = [
(data.price || 0) / 1000,
data.price_per_sqft || 0
];
priceChart.update();
}
} catch (error) {
console.error('Error updating price analysis:', error);
}
}
function updatePriceRanges(ranges) {
try {
const elements = {
'budget-range': ranges.budget,
'mid-range': ranges.mid_range,
'premium-range': ranges.premium
};
Object.entries(elements).forEach(([id, range]) => {
const element = document.getElementById(id);
if (element) {
element.innerHTML = `
<div class="range-value">₹${range.min.toLocaleString()} - ₹${range.max.toLocaleString()}</div>
<div class="range-description">${range.description}</div>
`;
}
});
} catch (error) {
console.error('Error updating price ranges:', error);
}
}
function updateMarketTrends(trends) {
try {
// City tier
const cityTier = document.getElementById('city-tier');
if (cityTier) {
const tierIcon = trends.city_tier === 'metro' ? '🏙️' :
trends.city_tier === 'tier-1' ? '🌆' :
trends.city_tier === 'tier-2' ? '🏘️' : '🏡';
cityTier.innerHTML = `${tierIcon} ${trends.city_tier.toUpperCase()}`;
}
// Price trend
const priceTrend = document.getElementById('price-trend');
if (priceTrend) {
const trendIcon = trends.avg_price_range.trend === 'increasing' ? '📈' :
trends.avg_price_range.trend === 'decreasing' ? '📉' : '➡️';
priceTrend.innerHTML = `${trendIcon} ${trends.avg_price_range.trend.toUpperCase()}`;
}
// Market average
const marketAvg = document.getElementById('market-average');
if (marketAvg) {
const avgPrice = trends.price_per_sqft.market_avg;
marketAvg.innerHTML = `
<div class="trend-value">₹${avgPrice.toLocaleString()}</div>
<div class="trend-description">Market Average</div>
`;
}
// Price deviation
const priceDeviation = document.getElementById('price-deviation');
if (priceDeviation) {
const deviation = trends.price_per_sqft.deviation;
const deviationColor = deviation > 20 ? '#f72585' : deviation > 10 ? '#f8961e' : '#4cc9f0';
priceDeviation.innerHTML = `
<div class="trend-value" style="color: ${deviationColor}">${deviation.toFixed(1)}%</div>
<div class="trend-description">From Market Average</div>
`;
}
} catch (error) {
console.error('Error updating market trends:', error);
}
}
function updatePriceFactors(factors) {
try {
// Property age factor
if (factors.age_factor) {
const ageFactor = document.getElementById('age-factor');
if (ageFactor) {
const ageImpact = factors.age_factor.impact === 'high' ? '🔴' :
factors.age_factor.impact === 'medium' ? '🟡' : '🟢';
ageFactor.innerHTML = `
<span class="factor-value">${factors.age_factor.property_age} years</span>
<span class="factor-impact">${ageImpact} Impact: ${factors.age_factor.impact.toUpperCase()}</span>
`;
}
}
// Size factor
if (factors.size_factor) {
const sizeFactor = document.getElementById('size-factor');
if (sizeFactor) {
const sizeEfficiency = factors.size_factor.efficiency === 'high' ? '🟢' :
factors.size_factor.efficiency === 'medium' ? '🟡' : '🔴';
sizeFactor.innerHTML = `
<span class="factor-value">${sizeEfficiency} ${factors.size_factor.efficiency.toUpperCase()}</span>
<span class="factor-impact">Size: ${factors.size_factor.size.toLocaleString()} sq.ft.</span>
`;
}
}
// Amenities factor
if (factors.amenities_factor) {
const amenitiesFactor = document.getElementById('amenities-factor');
if (amenitiesFactor) {
const amenitiesImpact = factors.amenities_factor.impact === 'high' ? '🟢' :
factors.amenities_factor.impact === 'medium' ? '🟡' : '🔴';
amenitiesFactor.innerHTML = `
<span class="factor-value">${amenitiesImpact} ${factors.amenities_factor.count} amenities</span>
<span class="factor-impact">Impact: ${factors.amenities_factor.impact.toUpperCase()}</span>
`;
}
}
} catch (error) {
console.error('Error updating price factors:', error);
}
}
function updateRiskIndicators(indicators) {
try {
const riskList = document.getElementById('risk-indicators');
if (!riskList) return;
riskList.innerHTML = '';
if (indicators.length > 0) {
indicators.forEach(risk => {
const li = document.createElement('li');
li.innerHTML = `⚠️ ${risk}`;
li.style.background = '#fff3e0';
li.style.color = '#e65100';
riskList.appendChild(li);
});
} else {
const li = document.createElement('li');
li.innerHTML = '✅ No significant risks identified';
li.style.background = '#e8f5e9';
li.style.color = '#2e7d32';
riskList.appendChild(li);
}
} catch (error) {
console.error('Error updating risk indicators:', error);
}
}
function getScoreColorClass(score) {
if (score >= 80) return 'bg-success';
if (score >= 60) return 'bg-info';
if (score >= 40) return 'bg-warning';
return 'bg-danger';
}
function getScoreColor(score) {
if (score >= 70) return '#4cc9f0';
if (score >= 40) return '#f8961e';
return '#f72585';
}
function updateLocationAnalysis(data) {
// Update location analysis section
document.getElementById('locationAnalysis').innerHTML = `
<p><strong>Assessment:</strong> ${data.assessment || "Unknown"}</p>
<p><strong>Completeness:</strong> ${data.completeness_score || 0}%</p>
<p><strong>Coordinates:</strong> ${data.coordinates_check || "Unknown"}</p>
<p><strong>Landmarks:</strong> ${data.landmarks_provided ? 'Provided' : 'Not provided'}</p>
`;
// Update Location Chart
if (locationChart) {
locationChart.data.datasets[0].data = [
data.completeness_score || 0,
100 - (data.completeness_score || 0),
data.coordinates_check === 'coordinates_missing' ? 30 : 0
];
locationChart.update();
}
}
function updateLegalAnalysis(data) {
// Update legal analysis section
document.getElementById('legalAnalysis').innerHTML = `
<p><strong>Assessment:</strong> ${data.assessment || "Unknown"}</p>
<p><strong>Completeness:</strong> ${data.completeness_score || 0}%</p>
<p><strong>Summary:</strong> ${data.summary || "No summary available"}</p>
${data.terms_found && data.terms_found.length > 0 ? `<p><strong>Legal Terms Found:</strong> ${data.terms_found.join(', ')}</p>` : ''}
${data.potential_issues ? '<p class="alert alert-warning">Potential legal issues detected</p>' : ''}
`;
// Update Legal Chart
if (legalChart) {
legalChart.data.datasets[0].data = [
data.completeness_score || 0,
100 - (data.completeness_score || 0),
data.potential_issues ? 30 : 0
];
legalChart.update();
}
}
function updateDocumentAnalysis(data) {
// Update document analysis section
document.getElementById('documentAnalysis').innerHTML = `
<p><strong>Documents Analyzed:</strong> ${data.pdf_count}</p>
${data.pdf_analysis.map((pdf, index) => `
<div class="pdf-preview">
<p><strong>Document ${index + 1}</strong></p>
<p><strong>Type:</strong> ${pdf.document_type.classification} (${Math.round(pdf.document_type.confidence * 100)}% confidence)</p>
<p><strong>Authenticity:</strong> ${pdf.authenticity.assessment} (${Math.round(pdf.authenticity.confidence * 100)}% confidence)</p>
<p><strong>Summary:</strong> ${pdf.summary}</p>
<p><strong>Contains Signatures:</strong> ${pdf.contains_signatures ? 'Yes' : 'No'}</p>
<p><strong>Contains Dates:</strong> ${pdf.contains_dates ? 'Yes' : 'No'}</p>
</div>
`).join('')}
`;
// Update Document Chart
if (documentChart) {
documentChart.data.datasets[0].data = [
data.pdf_analysis.filter(pdf => pdf.authenticity.assessment.includes('authentic')).length,
data.pdf_analysis.filter(pdf => pdf.authenticity.assessment.includes('fraudulent')).length,
data.pdf_analysis.length - data.pdf_analysis.filter(pdf => pdf.authenticity.assessment.includes('authentic')).length - data.pdf_analysis.filter(pdf => pdf.authenticity.assessment.includes('fraudulent')).length
];
documentChart.update();
}
}
function updateImageAnalysis(data) {
try {
const imageAnalysisDiv = document.getElementById('imageAnalysis');
const imageGallery = document.getElementById('imageGallery');
if (!imageAnalysisDiv || !imageGallery) {
console.error('Image analysis elements not found');
return;
}
// Clear previous content
imageAnalysisDiv.innerHTML = '';
imageGallery.innerHTML = '';
// Check if we have valid data
if (!data || !data.image_analysis) {
imageAnalysisDiv.innerHTML = '<p class="alert alert-warning">No image analysis data available</p>';
return;
}
// Create analysis summary
const summaryDiv = document.createElement('div');
summaryDiv.className = 'image-analysis-summary';
summaryDiv.innerHTML = `
<h4>Image Analysis Summary</h4>
<p><strong>Total Images:</strong> ${data.image_count || 0}</p>
<p><strong>Property-Related Images:</strong> ${data.image_analysis.filter(img => img && img.is_property_related).length}</p>
<p><strong>Analysis Confidence:</strong> ${Math.round((data.confidence || 0) * 100)}%</p>
`;
imageAnalysisDiv.appendChild(summaryDiv);
// Create image gallery
if (data.image_analysis && data.image_analysis.length > 0) {
data.image_analysis.forEach((img, index) => {
if (!img || !img.image_data) return;
const galleryItem = document.createElement('div');
galleryItem.className = 'gallery-item';
// Create image container
const imgContainer = document.createElement('div');
imgContainer.className = 'image-container';
// Create image element
const imgElement = document.createElement('img');
imgElement.src = `data:image/jpeg;base64,${img.image_data}`;
imgElement.alt = `Property Image ${index + 1}`;
imgElement.onerror = function() {
this.src = 'placeholder.jpg'; // Fallback image
console.error(`Failed to load image ${index + 1}`);
};
// Create analysis overlay
const overlay = document.createElement('div');
overlay.className = 'image-overlay';
overlay.innerHTML = `
<div class="badge ${img.is_property_related ? 'badge-success' : 'badge-warning'}">
${img.is_property_related ? 'Property' : 'Not Property'}
</div>
<div class="confidence-score">
Confidence: ${Math.round((img.confidence || 0) * 100)}%
</div>
`;
imgContainer.appendChild(imgElement);
imgContainer.appendChild(overlay);
galleryItem.appendChild(imgContainer);
imageGallery.appendChild(galleryItem);
});
} else {
imageGallery.innerHTML = '<p class="alert alert-info">No images available for analysis</p>';
}
// Add analysis details
const detailsDiv = document.createElement('div');
detailsDiv.className = 'image-analysis-details';
detailsDiv.innerHTML = `
<h4>Detailed Analysis</h4>
<div class="analysis-grid">
${data.image_analysis.map((img, index) => `
<div class="analysis-item">
<h5>Image ${index + 1}</h5>
<p><strong>Type:</strong> ${img.image_type || 'Unknown'}</p>
<p><strong>Property Related:</strong> ${img.is_property_related ? 'Yes' : 'No'}</p>
<p><strong>Confidence:</strong> ${Math.round((img.confidence || 0) * 100)}%</p>
${img.analysis_details ? `<p><strong>Details:</strong> ${img.analysis_details}</p>` : ''}
</div>
`).join('')}
</div>
`;
imageAnalysisDiv.appendChild(detailsDiv);
} catch (error) {
console.error('Error updating image analysis:', error);
const imageAnalysisDiv = document.getElementById('imageAnalysis');
if (imageAnalysisDiv) {
imageAnalysisDiv.innerHTML = `
<div class="alert alert-danger">
<h4>Error Processing Images</h4>
<p>${error.message}</p>
</div>
`;
}
}
}
function updateFinalVerdict(data) {
// Update final verdict display
const verdictBox = document.getElementById('verdictBox');
const verdictIcon = document.getElementById('verdictIcon');
const verdictText = document.getElementById('verdictText');
const verdictScoreValue = document.getElementById('verdictScoreValue');
const verdictScoreBar = document.getElementById('verdictScoreBar');
// Get final verdict data
const finalVerdict = data || {};
const verdictStatus = finalVerdict.status || 'unknown';
const verdictScore = finalVerdict.score || 0;
const verdictConfidence = finalVerdict.confidence || 0;
// Update verdict display
if (verdictStatus === 'fraudulent') {
verdictBox.className = 'verdict-box verdict-fraudulent';
verdictIcon.textContent = '❌';
verdictText.textContent = 'HIGH RISK - LIKELY FRAUDULENT';
} else if (verdictStatus === 'suspicious') {
verdictBox.className = 'verdict-box verdict-suspicious';
verdictIcon.textContent = '⚠️';
verdictText.textContent = 'CAUTION - SUSPICIOUS ELEMENTS';
} else if (verdictStatus === 'legitimate') {
verdictBox.className = 'verdict-box verdict-legitimate';
verdictIcon.textContent = '✅';
verdictText.textContent = 'VERIFIED REAL ESTATE LISTING';
} else {
verdictBox.className = 'verdict-box';
verdictIcon.textContent = '❓';
verdictText.textContent = 'VERDICT UNKNOWN';
}
// Update verdict score
verdictScoreValue.textContent = `${Math.round(verdictScore)}%`;
verdictScoreBar.style.width = `${verdictScore}%`;
verdictScoreBar.className = `progress-fill ${getScoreColorClass(verdictScore)}`;
// Display critical issues
const criticalIssuesList = document.getElementById('criticalIssuesList');
criticalIssuesList.innerHTML = '';
if (finalVerdict.critical_issues && finalVerdict.critical_issues.length > 0) {
finalVerdict.critical_issues.forEach(issue => {
const li = document.createElement('li');
li.className = 'suggestion-item';
li.innerHTML = `<i class="fas fa-exclamation-circle"></i> ${issue}`;
criticalIssuesList.appendChild(li);
});
document.getElementById('criticalIssuesSection').style.display = 'block';
} else {
document.getElementById('criticalIssuesSection').style.display = 'none';
}
// Display warnings
const warningsList = document.getElementById('warningsList');
warningsList.innerHTML = '';
if (finalVerdict.warnings && finalVerdict.warnings.length > 0) {
finalVerdict.warnings.forEach(warning => {
const li = document.createElement('li');
li.className = 'suggestion-item';
li.innerHTML = `<i class="fas fa-exclamation-triangle"></i> ${warning}`;
warningsList.appendChild(li);
});
document.getElementById('warningsSection').style.display = 'block';
} else {
document.getElementById('warningsSection').style.display = 'none';
}
// Display recommendations
const recommendationsList = document.getElementById('recommendationsList');
recommendationsList.innerHTML = '';
if (finalVerdict.recommendations && finalVerdict.recommendations.length > 0) {
finalVerdict.recommendations.forEach(recommendation => {
const li = document.createElement('li');
li.className = 'suggestion-item';
li.innerHTML = `<i class="fas fa-check-circle"></i> ${recommendation}`;
recommendationsList.appendChild(li);
});
document.getElementById('recommendationsSection').style.display = 'block';
} else {
document.getElementById('recommendationsSection').style.display = 'none';
}
// Update Verification Scores
updateScoreBar('trustBar', 'trustValue', validatedData.trust_score.score);
// Image authenticity score
let imageScore = 0;
if (data.image_analysis && data.image_analysis.image_analysis) {
const propertyImages = data.image_analysis.image_analysis.filter(img => img && img.is_property_related);
imageScore = data.image_count > 0 ?
Math.round((propertyImages.length / data.image_count) * 100) : 0;
}
updateScoreBar('imageBar', 'imageValue', imageScore);
// Document verification score
let docScore = 0;
if (data.document_analysis && data.document_analysis.pdf_analysis) {
const verificationScores = data.document_analysis.pdf_analysis.map(
pdf => pdf.verification_score || 0
);
docScore = verificationScores.length > 0 ?
Math.round((verificationScores.reduce((a, b) => a + b, 0) / verificationScores.length) * 100) : 0;
}
updateScoreBar('documentBar', 'documentValue', docScore);
// Content quality score
const contentScore = validatedData.quality_assessment.score;
updateScoreBar('contentBar', 'contentValue', contentScore);
// Location accuracy score
const locationScore = data.location_analysis ? data.location_analysis.completeness_score || 0 : 0;
updateScoreBar('locationBar', 'locationValue', locationScore);
// Update Red Flags
const redFlagsList = document.getElementById('redFlagsList');
redFlagsList.innerHTML = '';
const redFlags = [];
// Check for inconsistencies and issues
if (data.cross_validation) {
data.cross_validation.forEach(check => {
if (check.status === 'inconsistent' || check.status === 'invalid' ||
check.status === 'suspicious' || check.status === 'no_match') {
redFlags.push(`${check.check}: ${check.message}`);
}
});
}
if (validatedData.quality_assessment.isAiGenerated) {
redFlags.push('Description appears to be AI-generated, which may indicate a fake listing');
}
if (data.price_analysis &&
(data.price_analysis.assessment === 'suspicious pricing' ||
data.price_analysis.assessment === 'overpriced' ||
data.price_analysis.assessment === 'underpriced')) {
redFlags.push(`Price is ${data.price_analysis.assessment} for this type of property`);
}
if (data.legal_analysis && data.legal_analysis.potential_issues) {
redFlags.push('Potential legal issues detected in the property documentation');
}
if (data.image_analysis && data.image_count > 0) {
const propertyImages = data.image_analysis.image_analysis.filter(img => img && img.is_property_related);
if (propertyImages.length === 0) {
redFlags.push('None of the uploaded images appear to be related to real estate');
}
}
// If no red flags, add a positive message
if (redFlags.length === 0) {
redFlags.push('No significant red flags detected in this listing');
}
redFlags.forEach(flag => {
const li = document.createElement('li');
li.className = 'suggestion-item';
li.textContent = flag;
redFlagsList.appendChild(li);
});
}
function updatePropertySummary(data) {
// Update property summary
document.getElementById('summaryName').textContent = document.getElementById('propertyName').value || 'Not provided';
document.getElementById('summaryType').textContent = document.getElementById('propertyType').value || 'Not provided';
document.getElementById('summaryStatus').textContent = document.getElementById('status').value || 'Not provided';
document.getElementById('summaryLocation').textContent =
`${document.getElementById('address').value || ''}, ${document.getElementById('city').value || ''}, ${document.getElementById('state').value || ''}, India`;
document.getElementById('summaryPrice').textContent = document.getElementById('marketValue').value ? `₹${document.getElementById('marketValue').value}` : 'Not provided';
document.getElementById('summarySize').textContent = document.getElementById('sqFt').value ? `${document.getElementById('sqFt').value} sq. ft.` : 'Not provided';
document.getElementById('summaryRooms').textContent =
`${document.getElementById('bedrooms').value || '0'} BHK`; // BHK is common in Indian real estate
}
function updateScoreBar(barId, valueId, score) {
const bar = document.getElementById(barId);
const value = document.getElementById(valueId);
if (bar && value) {
bar.style.setProperty('--score-width', `${score}%`);
bar.style.background = `linear-gradient(to right,
${getScoreColor(score)} ${score}%,
#e9ecef ${score}%)`;
value.textContent = `${score}%`;
}
}
</script>
</body>
</html>