🔍 What This Demo Does

• 📊 Time Series Visualization
  Upload your CSV file containing dates and disease mention counts, and visualize the temporal patterns using interactive Plotly charts.
• 🔍 Anomaly Detection
  Choose from multiple detection methods to identify unusual patterns in your time series:
  • LSTM: Uses deep learning to model sequential data and detect anomalies based on deviations from predicted patterns
  • ARIMA: Employs statistical methods to forecast time series and identify anomalies by comparing actual values to predictions
  • IQR: Flags anomalies by identifying data points that fall outside the interquartile range