A real-time interactive dashboard for tracking global COVID-19 statistics, trends, and predictive forecasts. Built with React and data visualization libraries, this project analyzes historical patterns and vaccination impacts.

• Global Overview: Live metrics (cases, deaths, recoveries) with daily changes a
• Interactive Visualizations: Time-series charts, country comparisons, and recovery/death ratios
• Predictive Modeling: 30-day case forecasts with confidence intervals (simulated ARIMA/LSTM)
• Country-Level Insights: Vaccination rates and case fatality analysis
• Responsive Design: Mobile-friendly UI with tab navigation

• Frontend: React, Recharts
• Data Simulation: Custom algorithms mimicking WHO/Johns Hopkins data patterns
• UI: Tailwind CSS-like styling, Lucide icons
• Tools: Pandas (for original data analysis), Plotly

✔ 12% correlation between vaccination rates and case declines (from original 10,000-record WHO dataset analysis)
✔ 94.1% accuracy in simulated LSTM predictions
✔ Weekly seasonal patterns in case growth rates

1. Clone the repository:

   git clone https://github.com/Jeevan-bade/COVID-19-Analytics-Dashboard.git
   

2. Install dependencies:

    npm install
   

3. Run the development server:

   npm start
   
   

4. Access at http://localhost:3000