INDIAN-INFRA-AI-INSIGHTS.STREAMLIT.APP

A Snowflake, Streamlit-powered AI application to analyze, predict, and improve India's infrastructure across diverse sectors using advanced AI techniques and data visualization.

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🚀 Features

1. Accident Severity Prediction
   • AI-driven predictions to analyze accident probability and severity based on environmental, road, and vehicle conditions.
2. Road Accident Analysis
   • Comprehensive analysis of road accidents (2019-2022) with trends, causes, and preventive recommendations.
3. Real-Time Air Quality Index (AQI)
   • Displays real-time AQI data across Indian cities with advanced visualizations.
4. Petrol Demand Prediction
   • Forecasts fuel demand trends to optimize resource allocation and infrastructure planning.
5. Civil Aviation Analysis
   • Insights into passenger growth, operational efficiency, and market trends (1990-2019).
6. AI Civil Engineer
   • An assistant specialized in leveraging AI for civil engineering projects.
7. Infrastructure Failure Analysis
   • Identifies reasons for project failures and provides actionable recommendations.

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🎯 Goals

• Leverage AI and data to enhance infrastructure planning and maintenance.
• Provide actionable insights for government, planners, and citizens.
• Promote sustainable development through data-driven decisions.

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📊 Data Sources

• Snowflake Data Marketplace: Large-scale datasets on infrastructure and public utilities.
• data.gov.in: Open government datasets.
• Weather APIs: Real-time AQI data.
• Custom Datasets: Tailored for specific analysis.

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🛠️ Technologies

• Frontend: Streamlit
• Backend: Snowflake (for data storage, processing, and advanced analytics)
• Visualization: Plotly, Matplotlib
• AI Models: Machine Learning for predictions, accident analysis, and trend forecasting

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🧩 Architecture

1. Data Ingestion: Data collected from Snowflake, APIs, and custom uploads.
2. Processing: Data cleaning, validation, and embedding creation using Snowflake and Streamlit utilities.
3. Visualization: Dynamic dashboards with charts, heatmaps, and interactive visualizations.
4. User Interaction: Intuitive interface for entering inputs, viewing results, and exploring insights.

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📁 Project Structure

├── .devcontainer
│   └── devcontainer.json
├── .streamlit
│   └── config.toml
├── Home.py
├── README.md
├── pages
│   ├── AI_Civil_Engineer.py
│   ├── Accident_Severity_Prediction_Using_AI.py
│   ├── Accidents_Analysis_Prevention_Using_AI.py
│   ├── Architecture.py
│   ├── Hypothesis.py
│   ├── Indian_Civil_Aviation.py
│   ├── Indian_Roads.py
│   ├── Indian_Trains.py
│   ├── Infra_Projects_Failure_Reasons.py
│   ├── Petrol_Need_prediction.py
│   ├── Realtime_AQI_Across_India.py
│   └── Snowflake_Powered_Accident_Analysis_bot.py

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🔥 Unique Highlights

• Accident Prediction: AI models predict accident severity and probability based on real-world inputs.
• Interactive Features: Animated charts, heatmaps, and sentiment analysis for accident discussions.
• Scalable: Built using Snowflake and Streamlit for handling large datasets with ease.

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🌟 How to Use

1. Navigate through sections: Use the sidebar to access different features like accident prediction, AQI analysis, and more.
2. Enter Inputs: Provide required details for prediction or analysis (e.g., vehicle number, road conditions).
3. View Results: Explore insights, predictions, and recommendations through dynamic charts and tables.

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👨‍💻 Developer

Mahantesh Hiremath

• LinkedIn: Mahantesh Hiremath

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💡 Future Enhancements

• Integration with more datasets for broader coverage.
• Adding AI-powered recommendations for urban planning.

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🌐 Live App

Check out the live app: Indian Infra AI Insights

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📝 License

This project is licensed under the MIT License - feel free to contribute and expand!

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