This project is an interactive dashboard for analyzing and visualizing tourism-related data using data analytics and machine learning. It provides insights into tourism's economic impact, forecasts key metrics, and simulates scenarios to assist policymakers, tourism boards, and stakeholders.
- Tourism Contribution to GDP: Visualize the contribution of tourism to GDP across countries and regions.
- Economic Impact Analysis: Compare tourism receipts and expenditures to understand net contributions.
- Predictive Analytics: Use LSTM models to forecast metrics like tourism arrivals and receipts.
- Impact Simulator: Simulate the economic impact of changes in tourism metrics.
- Exploratory Data Analysis (EDA): Gain insights into key tourism and economic indicators.
- Frontend: Streamlit
- Visualization: Plotly, Seaborn
- Data Processing: Pandas, NumPy
- Machine Learning: Scikit-learn, TensorFlow
- Backend: Python