https://github.com/who-else-but-arjun/tourism_dashboard

https://github.com/who-else-but-arjun/tourism_dashboard

dasboard data-science numpy plotly streamlit

Last synced: about 2 months ago
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• Host: GitHub
• URL: https://github.com/who-else-but-arjun/tourism_dashboard
• Owner: who-else-but-arjun
• Created: 2024-12-30T06:23:48.000Z (5 months ago)
• Default Branch: main
• Last Pushed: 2024-12-30T06:37:04.000Z (5 months ago)
• Last Synced: 2025-02-14T14:57:40.796Z (3 months ago)
• Topics: dasboard, data-science, numpy, plotly, streamlit
• Language: Python
• Homepage: https://tourismdashboard-iimr.streamlit.app/
• Size: 313 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Tourism Analytics Dashboard

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.

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## Features

- **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.

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## Technologies Used

- **Frontend:** Streamlit

- **Visualization:** Plotly, Seaborn

- **Data Processing:** Pandas, NumPy

- **Machine Learning:** Scikit-learn, TensorFlow

- **Backend:** Python

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