news_time_series_anomaly_detection / sections /project_description.html
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<!DOCTYPE html>
<html lang="en">
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<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>TrustAlert: News Anomaly Detection</title>
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body {
font-family: 'Segoe UI', sans-serif;
line-height: 1.6;
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color: #333;
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header {
background-color: #2a4d69;
color: white !important;
padding: 20px;
text-align: center;
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<h1 style="color:white !important;">🛡️ TrustAlert: News Time Series Anomaly Detection</h1>
<p style="color:white !important;">Detecting anomalies in disease-related news coverage using advanced time series analysis</p>
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<section>
<p>This tool analyzes temporal patterns in disease-related news coverage to identify potential outbreaks or unusual events. By detecting anomalies in the frequency of disease mentions, we can help public health officials spot emerging health concerns early.</p>
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