daily-progress-report

More from datadrivenconstruction/ddc_skills_for_ai_agents_in_construction

• cost-prediction

  Predict construction project costs using Machine Learning. Use Linear Regression, K-Nearest Neighbors, and Random Forest models on historical project data. Train, evaluate, and deploy cost prediction models.

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• gantt-chart

  Generate Gantt charts for construction scheduling. Create visual project timelines with dependencies and progress tracking.

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• data-visualization

  Create visualizations for construction data. Generate charts, graphs, heatmaps, and interactive dashboards using Matplotlib, Seaborn, and Plotly for project analysis and reporting.

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• carbon-calculator

  Calculate embodied carbon in construction materials. Track CO2 emissions, compare alternatives, and generate sustainability reports.

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• weather-impact-analysis

  Analyze weather data impact on construction schedules. Predict weather delays, optimize work scheduling based on forecasts, and calculate weather-related risk factors for project planning.

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• digital-twin-sync

  Synchronize construction digital twins with real-time data. Connect BIM models with IoT sensors, progress updates, and field data for live project visualization and monitoring.

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