This Streamlit app provides an in-depth analysis of India’s infrastructure and urban development trends. Using historical data, it visualizes trends in population density, habitation quality, land use, housing demand, and urban population growth, with additional predictive capabilities for future urban growth.
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Interactive Visualizations: Population density, habitation coverage, housing demand, land use, and urban growth.
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Predictive Models: Forecasts for urban population growth and housing demand based on historical data.
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Data Integration: Connected to Snowflake for data retrieval and analysis.
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Clone the repository.
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Install dependencies:
pip install -r requirements.txt
- Run the app:
streamlit run app.py
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Python (Streamlit, Snowflake-connector-python, Pandas, Scikit-Learn, Matplotlib, Seaborn)
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Snowflake: For database connectivity and data management
Navigate through different sections to explore visualizations and predictions. Modify inputs in interactive elements (sliders, dropdowns) to analyze specific trends.
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Additional Predictive Models: Extend forecasts with more variables.
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Real-time Data Integration: Automate data updates from open government datasets.