Explore skills

Predict project completion dates using ML models. Forecast schedule delays based on current progress, historical patterns, and risk factors.

Automate construction photo report generation using n8n with AI-powered image analysis.

Check BIM data against IDS (Information Delivery Specification). Validate model information requirements and compliance.

Convert construction data to/from Parquet format. Optimize storage, enable fast queries, and integrate with data lakehouses.

Implement semantic vector search for construction data. Build AI-powered search using embeddings and vector databases (Qdrant, ChromaDB) for intelligent querying of specifications, standards, and project documents.

Build ML models for construction predictions. Train and evaluate custom models for cost, duration, and risk prediction.

Extract structured data from construction documents using LLMs. Process RFIs, submittals, contracts, specifications. Convert unstructured PDFs to structured JSON/Excel.

Automated pipeline for retraining ML models with new construction data. Monitor model drift, trigger retraining, and validate model performance.

Word document generation for construction: contracts, proposals, reports, specifications, transmittals. Template-based with dynamic content insertion.

Plan organizational capacity for construction projects. Forecast resource needs, identify capacity gaps, and support strategic planning for project pursuit and staffing.

Automate construction permit tracking and management. Monitor application status, track renewal deadlines, manage document requirements, and integrate with municipal systems.

Assess company readiness for construction industry uberization. Analyze data transparency, process automation, and competitive positioning against open data platforms.