Inspiration

Construction projects often rely on disconnected systems for workforce management, material tracking, logistics, and scheduling. Project managers spend significant time coordinating information manually, making it difficult to anticipate delays and make informed decisions.

The Problem

A delay in one activity can create a chain reaction across the entire construction schedule. Material shortages, worker availability, shipment delays, and changing site conditions often result in idle resources, increased costs, and missed deadlines.

Our Solution

BuildPilot is an AI-powered Construction Operations Copilot that transforms fragmented project data into actionable decisions.

Instead of simply displaying dashboards, BuildPilot continuously analyzes workforce availability, material inventory, shipment status, task dependencies, project progress, and external factors to recommend the best execution plan for the day.

The system provides:

• 🌅 Morning AI Brief with risks and priorities
• 📦 Material shortage prediction and smart reorder recommendations
• 🔄 Dependency-aware task scheduling
• 🌙 End-of-day progress reports with completion forecasts
• 📈 AI-generated recommendations to reduce delays and improve productivity

Current Status

This project is currently in the proposal stage for the CDC × Kaya AI Hackathon 2026. The prototype will be developed during the hackathon period.

Built With

• docker
• express.js
• fastapi
• github
• google-gemini-api
• langchain
• mongodb
• networkx
• node.js
• opencv
• pandas
• python
• react
• rest-apis
• yolov11